As shown on the satellite image below, on it's western side, Thetford Reef features many large bommies and coral outcrops that provide numerous exciting swim throughs. The Cathedral and Blue Lagoon divesites are particularly excitng and divers can enjoy wall diving on the 25 metre drop-off edges of the reef. Divers need to be cautious when heading through the bommie swim throughs because fragile gorgonian and fan corals grow there in abundance. Marine life: In the smaller coral patches look for giant clams, butterflyfish, rabbitfish, damsels, angelfish and pipefish. Anenomes with resident clown fish and chistmas worms in the boulder head corals make for interesting snorkelling.


The MTI Dental attachments are designed to provide reliable performance and comfort at a reasonable price. These Contra Sheath and Nose Cones attach to existing MTI Dental motors and fit on universal E-Type low speed motors.
The full 360° swivel feature (at the connection of the motor and attachment) provides optimal maneuverability and their ergonomical and lightweight design reduces hand fatigue and provides perfect balance.
The Contra Sheaths accept any MTI Dental Latch Heads or Prophy Heads. The locking mechanism of our Nose Cones is simple and extremely safe for fast and easy bur change. All motor attachments are fully autoclavable.


The law firms listed below handle legal matters related to Criminal Defense in South Dakota. If you wish to find a qualified lawyer who can properly address your concerns while protecting your legal rights, take a moment to review the South Dakota criminal defense law firms listed below. You can compare their qualifications and can call their offices to schedule consultations, which will give you a better idea of their ability to handle your case. Properly addressing Criminal Defense is important if you wish to protect your reputation, liberty and rights. Find a South Dakota criminal defense attorney who is qualified to handle your case.


Former name of Stanton. Begun as German colony by 5 German Catholics from Kansas, who pitched tents here, near new Texas & Pacific Railroad in 1881. The site -- with a water tank, section house, telegraph office bore name Grelton, but settlers had it changed to Marienfeld, German for "Field of Mary."
County was created 1876 and named for Wylie Martin, senator in Republic of Texas. When the county organized, town became county seat. First commissioners court met here December 13, 1884. Through Protestant influence, town was renamed Stanton, 1870.
The back of the postal card, showing an ad by the Staked Plains Land & Immigration Company.


text:
Training Deep Networks with Structured Layers by Matrix Backpropagation
Extending backpropagation to include matrix factorization in deep learning, interesting, the great convergence continues:
Training Deep Networks with Structured Layers by Matrix Backpropagation by Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu
Deep neural network architectures have recently produced excellent results in a variety of areas in artificial intelligence and visual recognition, well surpassing traditional shallow architectures trained using hand-designed features. The power of deep networks stems both from their ability to perform local computations followed by pointwise non-linearities over increasingly larger receptive fields, and from the simplicity and scalability of the gradient-descent training procedure based on backpropagation. An open problem is the inclusion of layers that perform global, structured matrix computations like segmentation (e.g. normalized cuts) or higher-order pooling (e.g. log-tangent space metrics defined over the manifold of symmetric positive definite matrices) while preserving the validity and efficiency of an end-to-end deep training framework. In this paper we propose a sound mathematical apparatus to formally integrate global structured computation into deep computation architectures. At the heart of our methodology is the development of the theory and practice of backpropagation that generalizes to the calculus of adjoint matrix variations. We perform segmentation experiments using the BSDS and MSCOCO benchmarks and demonstrate that deep networks relying on second-order pooling and normalized cuts layers, trained end-to-end using matrix backpropagation, outperform counterparts that do not take advantage of such global layers.
labels: MF, ML, TheGreatConvergence
Anomaly Detection in High Dimensional Data: Hyperspectral data, movies and more...
From the CAIB report featured in The Modeler's Known Unknowns and Unknown Knowns
Anomaly detection is when you are concerned with the "unknown unknowns" or to put it in a perspective that is currently solely missing from many algorithms: you are dealing with sometimes adversarial/evading counterparties or unexpected/outside model behaviors (outliers). There are some very sophisticated algorithms in machine learning and compressive sensing dealing with detailed classifications but when faced with unkown unknowns, you want to quantify anomaly detection or how far data is from your "frame-of-mind" model. High dimensional data afforded by cheap memory and CMOS is likely making these needles hard to find. Here are some recent preprints that showed up on my radar screen recently on the subject. And yes sparsity is sometimes key to detect them. Enjoy !
High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies by Yi (Grace) Wang, Guangliang Chen, Mauro Maggioni
We discuss recent progress in techniques for modeling and analyzing hyperspectral images and movies, in particular for detecting plumes of both known and unknown chemicals. We discuss novel techniques for robust modeling of the background in a hyperspectral scene, and for detecting chemicals of known spectrum, we use partial least squares regression on a resampled training set to boost performance. For the detection of unknown chemicals we view the problem as an anomaly detection problem, and use novel estimators with low-sampled complexity for intrinsically low-dimensional data in high-dimensions that enable use to model the "normal" spectra and detect anomalies. We apply these algorithms to benchmark data sets made available by Lincoln Labs at the Automated Target Detection program co-funded by NSF, DTRA and NGA, and compare, when applicable, to current state-of-art algorithms, with favorable results.
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection
Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
In this paper, a novel framework of sparse kernel learning for Support Vector Data Description (SVDD) based anomaly detection is presented. In this work, optimal sparse feature selection for anomaly detection is first modeled as a Mixed Integer Programming (MIP) problem. Due to the prohibitively high computational complexity of the MIP, it is relaxed into a Quadratically Constrained Linear Programming (QCLP) problem. The QCLP problem can then be practically solved by using an iterative optimization method, in which multiple subsets of features are iteratively found as opposed to a single subset. The QCLP-based iterative optimization problem is solved in a finite space called the \emph{Empirical Kernel Feature Space} (EKFS) instead of in the input space or \emph{Reproducing Kernel Hilbert Space} (RKHS). This is possible because of the fact that the geometrical properties of the EKFS and the corresponding RKHS remain the same. Now, an explicit nonlinear exploitation of the data in a finite EKFS is achievable, which results in optimal feature ranking. Experimental results based on a hyperspectral image show that the proposed method can provide improved performance over the current state-of-the-art techniques.
MultiView Diffusion Maps
Ofir Lindenbaum, Arie Yeredor, Moshe Salhov, Amir Averbuch
In this study we consider learning a reduced dimensionality representation from datasets obtained under multiple views. Such multiple views of datasets can be obtained, for example, when the same underlying process is observed using several different modalities, or measured with different instrumentation. Our goal is to effectively exploit the availability of such multiple views for various purposes, such as non-linear embedding, manifold learning, spectral clustering, anomaly detection and non-linear system identification. Our proposed method exploits the intrinsic relation within each view, as well as the mutual relations between views. We do this by defining a cross-view model, in which an implied Random Walk process between objects is restrained to hop between the different views. Our method is robust to scaling of each dataset, and is insensitive to small structural changes in the data. Within this framework, we define new diffusion distances and analyze the spectra of the implied kernels. We demonstrate the applicability of the proposed approach on both artificial and real data sets.
A Framework of Sparse Online Learning and Its Applications by Dayong Wang, Pengcheng Wu, Peilin Zhao, Steven C.H. Hoi
The amount of data in our society has been exploding in the era of big data today. In this paper, we address several open challenges of big data stream classification, including high volume, high velocity, high dimensionality, high sparsity, and high class-imbalance. Many existing studies in data mining literature solve data stream classification tasks in a batch learning setting, which suffers from poor efficiency and scalability when dealing with big data. To overcome the limitations, this paper investigates an online learning framework for big data stream classification tasks. Unlike some existing online data stream classification techniques that are often based on first-order online learning, we propose a framework of Sparse Online Classification (SOC) for data stream classification, which includes some state-of-the-art first-order sparse online learning algorithms as special cases and allows us to derive a new effective second-order online learning algorithm for data stream classification. In addition, we also propose a new cost-sensitive sparse online learning algorithm by extending the framework with application to tackle online anomaly detection tasks where class distribution of data could be very imbalanced. We also analyze the theoretical bounds of the proposed method, and finally conduct an extensive set of experiments, in which encouraging results validate the efficacy of the proposed algorithms in comparison to a family of state-of-the-art techniques on a variety of data stream classification tasks.
Robust Anomaly Detection Using Semidefinite Programming
Jose A. Lopez, Octavia Camps, Mario Sznaier
This paper presents a new approach, based on polynomial optimization and the method of moments, to the problem of anomaly detection. The proposed technique only requires information about the statistical moments of the normal-state distribution of the features of interest and compares favorably with existing approaches (such as Parzen windows and 1-class SVM). In addition, it provides a succinct description of the normal state. Thus, it leads to a substantial simplification of the the anomaly detection problem when working with higher dimensional datasets.
Anomaly Detection in Unstructured Environments using Bayesian Nonparametric Scene Modeling
Yogesh Girdhar, Walter Cho, Matthew Campbell, Jesus Pineda, Elizabeth Clarke, Hanumant Singh
This paper explores the use of a Bayesian non-parametric topic modeling technique for the purpose of anomaly detection in video data. We present results from two experiments. The first experiment shows that the proposed technique is automatically able characterize the underlying terrain, and detect anomalous flora in image data collected by an underwater robot. The second experiment shows that the same technique can be used on images from a static camera in a dynamic unstructured environment. The second dataset consisting of video data from a static seafloor camera, capturing images of a busy coral reef. The proposed technique was able to detect all three instances of an underwater vehicle passing in front of the camera, amongst many other observations of fishes, debris, lighting changes due to surface waves, and benthic flora.
Sparsity in Multivariate Extremes with Applications to Anomaly Detection
Nicolas Goix (LTCI), Anne Sabourin (LTCI), Stéphan Clémençon (LTCI)
(Submitted on 21 Jul 2015)
Capturing the dependence structure of multivariate extreme events is a major concern in many fields involving the management of risks stemming from multiple sources, e.g. portfolio monitoring, insurance, environmental risk management and anomaly detection. One convenient (non-parametric) characterization of extremal dependence in the framework of multivariate Extreme Value Theory (EVT) is the angular measure, which provides direct information about the probable 'directions' of extremes, that is, the relative contribution of each feature/coordinate of the 'largest' observations. Modeling the angular measure in high dimensional problems is a major challenge for the multivariate analysis of rare events. The present paper proposes a novel methodology aiming at exhibiting a sparsity pattern within the dependence structure of extremes. This is done by estimating the amount of mass spread by the angular measure on representative sets of directions, corresponding to specific sub-cones of Rd_+. This dimension reduction technique paves the way towards scaling up existing multivariate EVT methods. Beyond a non-asymptotic study providing a theoretical validity framework for our method, we propose as a direct application a --first-- anomaly detection algorithm based on multivariate EVT. This algorithm builds a sparse 'normal profile' of extreme behaviours, to be confronted with new (possibly abnormal) extreme observations. Illustrative experimental results provide strong empirical evidence of the relevance of our approach.
Universal Anomaly Detection: Algorithms and Applications
Shachar Siboni, Asaf Cohen
Modern computer threats are far more complicated than those seen in the past. They are constantly evolving, altering their appearance, perpetually changing disguise. Under such circumstances, detecting known threats, a fortiori zero-day attacks, requires new tools, which are able to capture the essence of their behavior, rather than some fixed signatures. In this work, we propose novel universal anomaly detection algorithms, which are able to learn the normal behavior of systems and alert for abnormalities, without any prior knowledge on the system model, nor any knowledge on the characteristics of the attack. The suggested method utilizes the Lempel-Ziv universal compression algorithm in order to optimally give probability assignments for normal behavior (during learning), then estimate the likelihood of new data (during operation) and classify it accordingly. The suggested technique is generic, and can be applied to different scenarios. Indeed, we apply it to key problems in computer security. The first is detecting Botnets Command and Control (C&C) channels. A Botnet is a logical network of compromised machines which are remotely controlled by an attacker using a C&C infrastructure, in order to perform malicious activities. We derive a detection algorithm based on timing data, which can be collected without deep inspection, from open as well as encrypted flows. We evaluate the algorithm on real-world network traces, showing how a universal, low complexity C&C identification system can be built, with high detection rates and low false-alarm probabilities. Further applications include malicious tools detection via system calls monitoring and data leakage identification.
Anomaly Detection for malware identification using Hardware Performance Counters by Alberto Garcia-Serrano
Computers are widely used today by most people. Internet based applications, like ecommerce or ebanking attracts criminals, who using sophisticated techniques, tries to introduce malware on the victim computer. But not only computer users are in risk, also smartphones or smartwatch users, smart cities, Internet of Things devices, etc. Different techniques has been tested against malware. Currently, pattern matching is the default approach in antivirus software. Also, Machine Learning is successfully being used. Continuing this trend, in this article we propose an anomaly based method using the hardware performance counters (HPC) available in almost any modern computer architecture. Because anomaly detection is an unsupervised process, new malware and APTs can be detected even if they are unknown.
labels: AnomalyDetection, CS, hyperspectral, MF
Thesis: Fusion of Sparse Reconstruction Algorithms in Compressed Sensing, Sooraj K. Ambat - implementation -
Sooraj K. Ambat just sent me know of the following:
I am happy to let you know that I have successfully defended my Ph.D. Thesis entitled "Fusion of Sparse Reconstruction Algorithms in Compressed Sensing". Thank you very much for maintaining such a wonderful blog which updated me, on a daily basis, about the cutting edge research in Compressed Sensing and related areas during my Ph.D. days.
Inspired by your collection of codes for reproducible research, I have also released my codes publicly available. The details of the links of the codes are available in my Thesis (and below)
My Thesis can be downloaded from
https://sites.google.com/site/soorajkambat/home/research/ph-d/PhDThesis_SoorajKAmbat%28April2015%29.pdf?attredirects=0&d=1
You may also find my publications and related codes for reproducible research downloadable at https://sites.google.com/site/soorajkambat/home/research/ph-d
Thanks Sooraj, this is impressive and congratulations ! On top of the exploration of these ensemble approach, I loved reference 78 and the mention in the acknowledgments ::-) Without further ado:
Fusion of Sparse Reconstruction Algorithms in Compressed Sensing, by Sooraj K. Ambat
Compressed Sensing (CS) is a new paradigm in signal processing which exploits the sparse or compressible nature of the signal to significantly reduce the number of measurements, without compromising on the signal reconstruction quality. Recently, many algorithms have been reported in the literature for efficient sparse signal reconstruction. Nevertheless, it is well known that the performance of any sparse reconstruction algorithm depends on many parameters like number of measurements, dimension of the sparse signal, the level of sparsity, the measurement noise power, and the underlying statistical distribution of the non-zero elements of the signal. It has been observed that a satisfactory performance of the sparse reconstruction algorithm mandates certain requirement on these parameters, which is different for different algorithms. Many applications are unlikely to fulfil this requirement. For example, imaging speed is crucial in many Magnetic Resonance Imaging (MRI) applications. This restricts the number of measurements, which in turn affects the medical diagnosis using MRI. Hence, any strategy to improve the signal reconstruction in such adverse scenario is of substantial interest in CS. Interestingly, it can be observed that the performance degradation of the sparse recovery algorithms in the aforementioned cases does not always imply a complete failure. That is, even in such adverse situations, a sparse reconstruction algorithm may provide partially correct information about the signal. In this thesis, we study this scenario and propose a novel fusion framework and an iterative framework which exploit the partial information available in the sparse signal estimate(s) to improve sparse signal reconstruction. The proposed fusion framework employs multiple sparse reconstruction algorithms, independently, for signal reconstruction. We first propose a fusion algorithm viz. Fusion of Algorithms for Compressed Sensing (FACS) which fuses the estimates of multiple participating algorithms in order to improve the sparse signal reconstruction. To alleviate the inherent drawbacks of FACS and further improve the sparse signal reconstruction, we propose another fusion algorithm called Committee Machine Approach for Compressed Sensing (CoMACS) and variants of CoMACS. For low latency applications, we propose a latency friendly fusion algorithm called progressive Fusion of Algorithms for Compressed Sensing (pFACS). We also extend the fusion framework to the Multiple Measurement Vector (MMV) problem and propose the extension of FACS called Multiple Measurement Vector Fusion of Algorithms for Compressed Sensing (MMV-FACS). We theoretically analyse the proposed fusion algorithms and derive guarantees for performance improvement. We also show that the proposed fusion algorithms are robust against both signal and measurement perturbations. Further, we demonstrate the efficacy of the proposed algorithms via numerical experiments: (i) using sparse signals with different statistical distributions in noise-free and noisy scenarios, and (ii) using real-world ECG signals. The extensive numerical experiments show that, for a judicious choice of the participating algorithms, the proposed fusion algorithms result in a sparse signal estimate which is often better than the sparse signal estimate of the best participating algorithm. The proposed fusion framework requires to employ multiple sparse reconstruction algorithms for sparse signal reconstruction. We also propose an iterative framework and algorithm called Iterative Framework for Sparse Reconstruction Algorithms (IFSRA) to improve the performance of a given arbitrary sparse reconstruction algorithm. We theoretically analyse IFSRA and derive convergence guarantees under signal and measurement perturbations. Numerical experiments on synthetic and real-world data confirm the efficacy of IFSRA. The proposed fusion algorithms and IFSRA are general in nature and does not require any modification in the participating algorithm(s).
Credits: NASA/JPL/University of Arizona
Full image and caption
These dark, narrow, 100 meter-long streaks called recurring slope lineae flowing downhill on Mars are inferred to have been formed by contemporary flowing water. Recently, planetary scientists detected hydrated salts on these slopes at Hale crater, corroborating their original hypothesis that the streaks are indeed formed by liquid water. The blue color seen upslope of the dark streaks are thought not to be related to their formation, but instead are from the presence of the mineral pyroxene. The image is produced by draping an orthorectified (Infrared-Red-Blue/Green(IRB)) false color image (ESP_030570_1440) on a Digital Terrain Model (DTM) of the same site produced by High Resolution Imaging Science Experiment (University of Arizona). Vertical exaggeration is 1.5.
labels: CS, implementation, MF, thesis
Data: MindBigData, the "MNIST" of Brain Digits
Wow, I love it when I see very different types of datasets. This following one seems very interesting and is from David Vivancos. It's an Open Dataset of "Brain Digits" , it is at: http://www.mindbigdata.com/opendb . This reminds of a discussion we had a while back about compressive EEG systems. From the page (the page has actual links to the datasets):
MindBigData
The "MNIST" of Brain Digits
The version 1.03 of the open database contains 1,183,368 brain signals of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, over the course of almost 2 years between 2014 & 2015, from a single Test Subject David Vivancos.
All the signals have been captured using commercial EEGs (not medical grade), NeuroSky MindWave, Emotiv EPOC, Interaxon Muse & Emotiv Insight, covering a total of 19 Brain (10/20) locations.
We built our own tools to capture them, but there is no post-processing on our side, so they come raw as they are read from each EEG device, in total 389,519,941 Data Points.
Feel free to test any machine learning, deep learning or whatever algorithm you think it could fit, we only ask for acknowledging the source and please let us know of your performance!
BRAIN LOCATIONS:
Each EEG device capture the signals via different sensors, located in these areas of my brain, the color represents the device: MindWave, EPOC, Muse, Insight
Contact us if you need any more info.
Let's decode My Brain!
David Vivancos vivancos@vivancos.com
This MindBigData The "MNIST" of Brain Digits is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
labels: CS, dataset, ML
"...Under Certain Circumstances, Liquid Water Has Been Found on Mars..."
labels: space
Tensorizing Neural Networks - implementation -
From Robert Dionne's contribution to GitXiv, here a recent NIPS accepted paper using the QTT format to "compress" neural network architecture:
From Tensorizing Neural Networks (presentation slides)
Tensorizing Neural Networks by Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry Vetrov
Deep neural networks currently demonstrate state-of-the-art performance in several domains. At the same time, models of this class are very demanding in terms of computational resources. In particular, a large amount of memory is required by commonly used fully-connected layers, making it hard to use the models on low-end devices and stopping the further increase of the model size. In this paper we convert the dense weight matrices of the fully-connected layers to the Tensor Train format such that the number of parameters is reduced by a huge factor and at the same time the expressive power of the layer is preserved. In particular, for the Very Deep VGG networks we report the compression factor of the dense weight matrix of a fully-connected layer up to 200000 times leading to the compression factor of the whole network up to 7 times.
The implementation is here.
labels: implementation, ML, tensor
Saturday Morning Videos: IPAM workshop on Computational Photography and Intelligent Cameras
Here are the videos of the IPAM workshop on Computational Photography and Intelligent Cameras (I haven't had much luck with firefox, but chrome seems to be ok with the low resolution videos):
David Brady (Duke University) Gigapixel Videography 1080p | 480p | 240p |
Mohit Gupta (Columbia University) Time-of-Flight Revolution 1080p | 480p | 240p |
Kristin Dana (Rutgers University) Reflectance Gradients for Material Recognition 1080p | 480p | 240p |
Patrick Llull (Duke University) Image-space coding of time and focus 1080p | 480p | 240p |
Paul Debevec (USC Institute for Creative Technologies ) Computational Illumination for lighting real and virtual actors 1080p | 480p | 240p |
Paolo Favaro (Universität Bern) Total Variation Blind Deconvolution: The Devil is in the Details 1080p | 480p | 240p |
Richard Baraniuk (Rice University) Everybody Must Get STOne: Video Compressive Sensing
Yohann Tendero (École Nationale Supérieure de Télécommunications) A mathematical model of a flutter shutter camera 1080p | 480p | 240p |
Kevin Kelly (Rice University) Practicalities of Imaging by Compressive Sensing 1080p | 480p | 240p |
William Freeman (Massachusetts Institute of Technology) The world of tiny motions 1080p | 480p | 240p |
Carlos Fernandez-Granda (Stanford University) Optimization-based sparse recovery: Compressed sensing vs. super-resolution 1080p | 480p | 240p |
Matthew Nokleby (Duke University) Information Theory and Compressive Sensing 1080p | 480p | 240p |
Ayan Chakrabarti (Toyota Technological Institute at Chicago ) Low-level Vision by Consensus in a Spatial Hierarchy of Regions 1080p | 480p | 240p |
Wolfgang Heidrich (King Abdullah Univ. of Science and Technology (KAUST)) Light Transport Analysis using Photonic Mixer Devices 1080p | 480p | 240p |
Pauline Trouvé (Onera) Codesign of an 3D imaging system based on depth-from-defocus 1080p | 480p | 240p |
Kari Pulli (Light) FlexISP: A Flexible Camera Image Processing Framework 1080p | 480p | 240p |
Oliver Cossairt (Northwestern University) Motion Contrast 3D Scanning 1080p | 480p | 240p |
Neus Sabater (Technicolor) Disparity guided demosaicking of plenoptic data
Ashok Veeraraghavan (Rice University) Imaging for personalized health 1080p | 480p | 240p |
Sabine Susstrunk (École Polytechnique Fédérale de Lausanne (EPFL)) Opponent Color Revisited 1080p | 480p | 240p |
Pascal Monasse (École Nationale des Ponts-et-Chaussées) Visualizing level lines and curvature in images 1080p | 480p | 240p |
Jack Tumblin (Northwestern University) Aggregated Light Measurements by Paired Digital Cameras and Displays 1080p | 480p | 240p |
By Igor at 9/26/2015 04:25:00 PM 1 comment: Links to the entry
labels: CS, CSVideo, SaturdayMorningVideos
Metric Learning: Random Projections and Deep Learning Style
Towards Making High Dimensional Distance Metric Learning Practical by Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu
In this work, we study distance metric learning (DML) for high dimensional data. A typical approach for DML with high dimensional data is to perform the dimensionality reduction first before learning the distance metric. The main shortcoming of this approach is that it may result in a suboptimal solution due to the subspace removed by the dimensionality reduction method. In this work, we present a dual random projection frame for DML with high dimensional data that explicitly addresses the limitation of dimensionality reduction for DML. The key idea is to first project all the data points into a low dimensional space by random projection, and compute the dual variables using the projected vectors. It then reconstructs the distance metric in the original space using the estimated dual variables. The proposed method, on one hand, enjoys the light computation of random projection, and on the other hand, alleviates the limitation of most dimensionality reduction methods. We verify both empirically and theoretically the effectiveness of the proposed algorithm for high dimensional DML.
Geometry-aware Deep Transform by Jiaji Huang, Qiang Qiu, Robert Calderbank, Guillermo Sapiro
Many recent efforts have been devoted to designing sophisticated deep learning structures, obtaining revolutionary results on benchmark datasets. The success of these deep learning methods mostly relies on an enormous volume of labeled training samples to learn a huge number of parameters in a network; therefore, understanding the generalization ability of a learned deep network cannot be overlooked, especially when restricted to a small training set, which is the case for many applications. In this paper, we propose a novel deep learning objective formulation that unifies both the classification and metric learning criteria. We then introduce a geometry-aware deep transform to enable a non-linear discriminative and robust feature transform, which shows competitive performance on small training sets for both synthetic and real-world data. We further support the proposed framework with a formal $(K,\epsilon)$-robustness analysis.
Image Credit: NASA/JPL-Caltech
This image was taken by Front Hazcam: Right B (FHAZ_RIGHT_B) onboard NASA's Mars rover Curiosity on Sol 1114 (2015-09-24 22:07:08 UTC).
labels: ML, random projections
Discovering governing equations from data: Sparse identification of nonlinear dynamical systems - implementation -
Interesting set of experiments (check the annex) !
Discovering governing equations from data: Sparse identification of nonlinear dynamical systems by Steven L. Brunton, Joshua L. Proctor, J. Nathan Kutz
The ability to discover physical laws and governing equations from data is one of humankind's greatest intellectual achievements. A quantitative understanding of dynamic constraints and balances in nature has facilitated rapid development of knowledge and enabled advanced technological achievements, including aircraft, combustion engines, satellites, and electrical power. In this work, we combine sparsity-promoting techniques and machine learning with nonlinear dynamical systems to discover governing physical equations from measurement data. The only assumption about the structure of the model is that there are only a few important terms that govern the dynamics, so that the equations are sparse in the space of possible functions; this assumption holds for many physical systems. In particular, we use sparse regression to determine the fewest terms in the dynamic governing equations required to accurately represent the data. The resulting models are parsimonious, balancing model complexity with descriptive ability while avoiding overfitting. We demonstrate the algorithm on a wide range of problems, from simple canonical systems, including linear and nonlinear oscillators and the chaotic Lorenz system, to the fluid vortex shedding behind an obstacle. The fluid example illustrates the ability of this method to discover the underlying dynamics of a system that took experts in the community nearly 30 years to resolve. We also show that this method generalizes to parameterized, time-varying, or externally forced systems.
The code is in the paper.
By Igor at 9/24/2015 09:53:00 AM 1 comment: Links to the entry
labels: BlindDeconvolution, CS, implementation, nonlinearCS
Book: Information Entropy and their Geometric Structures
Frederic Babaresco sent me the following link to this free book entitled "Information Entropy and their Geometric Structures" from the abstract:
The aim of this book is to provide an overview of current works addressing the topics of research that explore the geometric structures of information and entropy. The papers in this book includes the extended versions of a selection of the paper published in Proceedings of the 34th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), Amboise, France, 21–26 September 2014. Chapter 1 of the book is a historical review of the origins of thermodynamics and information theory. Chapter 2 discusses the mathematical and physical foundations of geometric structures related to information and entropy. Lastly, Chapter 3 is dedicated to applications with numerical schemes for geometric structures of information and entropy.
labels: book, maxent, MF, Overviews
Jobs: Center for Advanced Mathematics for Energy Research Applications (CAMERA)
Stefano Marchesini just sent me the following:
We had some good news from DOE office of Science to support and expand the Center for Advanced Mathematics for Energy Research Applications (CAMERA):http://newscenter.lbl.gov/2015/09/22/new-support-for-camera-to-develop-computational-mathematics-for-experimental-facilities-research/
I refer to the news release and our website camera.lbl.gov for a detailed description of all the projects. CAMERA's mission is to develop fundamental mathematics and algorithms, delivered as data analysis software that can accelerate scientific discovery at the advanced scientific user facilities of DOE office of science.
I was hoping you could point to your vast and skilled readership that CAMERA has positions and visiting opportunities available across a collection of disciplines to meet data analysis challenges. Particularly valuable are cross-disciplinary skills blending combinations of such fields as-Applied mathematics, including statistics and machine learning.
Computational science.
Signal and image processing.
Scientific research at experimental facilities and laboratories.
Further information about CAMERA, current projects, future expansion, and engagement opportunities may be found at camera.lbl.gov. contact information camera@math.lbl.gov
I'd be happy to answer questions about some of these opportunities as well, though not in all areas, primarily phase retrieval, inverse problems, parallel computing, x-ray science and technology, my contact below.
Lawrence Berkeley National Laboratory addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science. For more, visit www.lbl.gov.
DOE's Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information about DOE's Office of Science please visit science.energy.gov.
Best, Stefano
|^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-^-
Stefano Marchesini http://smarchesini.lbl.gov
CAMERA, Advanced Light Source, MS 2-400
1 Cyclotron Rd. Berkeley, CA 94720-8199, USA
labels: CSjobs
ASimCo: Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning - implementation -
Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning by Jing Dong, Wenwu Wang, Wei Dai, Mark D. Plumbley, Zi-Fa Han, Jonathon Chambers
In this paper, we consider the dictionary learning problem for the sparse analysis model. A novel algorithm is proposed by adapting the simultaneous codeword optimization (SimCO) algorithm, based on the sparse synthesis model, to the sparse analysis model. This algorithm assumes that the analysis dictionary contains unit ℓ2-norm atoms and learns the dictionary by optimization on manifolds. This framework allows multiple dictionary atoms to be updated simultaneously in each iteration. However, similar to several existing analysis dictionary learning algorithms, dictionaries learned by the proposed algorithm may contain similar atoms, leading to a degenerate (coherent) dictionary. To address this problem, we also consider restricting the coherence of the learned dictionary and propose Incoherent Analysis SimCO by introducing an atom decorrelation step following the update of the dictionary. We demonstrate the competitive performance of the proposed algorithms using experiments with synthetic data and image denoising as compared with existing algorithms.
An implementation is on Wenwu Wang's code page.
LSS: Learning the Structure for Structured Sparsity - implementation -
Learning the Structure for Structured Sparsity by Nino Shervashidze and Francis Bach
Structured sparsity has recently emerged in statistics, machine learning and signal processing as a promising paradigm for learning in high-dimensional settings. All existing methods for learning under the assumption of structured sparsity rely on prior knowledge on how to weight (or how to penalize) individual subsets of variables during the subset selection process, which is not available in general. Inferring group weights from data is a key open research problem in structured sparsity. In this paper, we propose a Bayesian approach to the problem of group weight learning. We model the group weights as hyperparameters of heavy-tailed priors on groups of variables and derive an approximate inference scheme to infer these hyperparameters. We empirically show that we are able to recover the model hyperparameters when the data are generated from the model, and we demonstrate the utility of learning weights in synthetic and real denoising problems.
The LSS package is here
labels: CS, implementation, MetaLearning, MF
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redpajama_set_name: RedPajamaCommonCrawl


text:
UK Club Unveils Stadium Redevelopment Plans
UK football club Wolverhampton Wanderers (Wolves) has announced plans for a £40m ($64.24m) redevelopment of the Molineux Stadium located in Wolverhampton, England. The redevelopment work, planned to be undertaken in three stages, will begin in May 2011 with the demolition of the exis
UK football club Wolverhampton Wanderers (Wolves) has announced plans for a £40m ($64.24m) redevelopment of the Molineux Stadium located in Wolverhampton, England.
The redevelopment work, planned to be undertaken in three stages, will begin in May 2011 with the demolition of the existing Stan Cullis stand in the stadium.
The stand will be replaced by a two-tier structure, which will increase the capacity of the stadium from 29,408 to 31,700, at a cost of £16m ($25.69m).
In the second phase, the Steve Bulls stand will be demolished and rebuilt adjoining the Stan Cullis stand, increasing the stadium's capacity to hold 36,000 people.
The third phase will involve removal of the roof over the Jack Harris stand and installation of a second tier, adding another 1,000 seats to the stadium.
Plans also include construction of a new club store, museum, cafe and hospitality facilities in the premises.
Customised Timber Solutions for Construction Projects


text:
Chapter 19.70
ADULT ENTERTAINMENT ESTABLISHMENTS
19.70.010 Definitions.
19.70.020 Location of adult entertainment land uses.
19.70.030 General provisions for adult entertainment land uses.
19.70.040 Severability.
19.70.050 Enforcement.
Adult entertainment land uses are defined as follows:
(1) "Adult entertainment establishments" means a business or establishment having a substantial or significant portion of its sales, rental income, or of its stock-in-trade consisting of books, magazines, audiovisual aids, paraphernalia, novelties and videotapes which are distinguished or characterized by their emphasis on matters depicting, describing, or relating to "specified sexual activities" or "specified anatomical areas." Businesses or establishments which provide facilities for the viewing of such videotapes described above shall also come within the definition of an "adult entertainment establishment."
Any business or establishment which engages in the sale or rental of videotapes described above and which prominently displays promotional material for such videotapes depicting, describing or relating to "specified sexual activities" or "specified anatomical areas," which said material is visible to the public from any pedestrian sidewalk or walkways, or front any other public area, shall also come within the definition of an "adult entertainment establishment."
(2) "Adult motion picture theater" means an enclosed building or open air theater with a capacity of 50 or more persons used for presenting material distinguished or characterized by an emphasis on matter depicting, or related to "specified sexual activities" or "specified anatomical areas" for observation by patrons therein.
(3) "Adult mini-motion picture theater" means an enclosed building or open air theater with a capacity for less than 50 persons used for presenting material distinguished or characterized by an emphasis on matter depicting, describing or relating to "specified sexual activities" or "specified anatomical areas," for observation by patrons therein.
(4) An establishment used for dances, performances or shows distinguished or characterized by an emphasis on "specified sexual activity" or "specified anatomical areas" for observation by patrons therein.
(5) Massage parlors and public bathhouses in which "specified sexual activities" occur.
(6) "Specified anatomical areas" means:
(a) Less than completely and opaquely covered:
(i) human genitals, pubic region,
(ii) buttock,
(iii) female breasts below a point immediately above the top of the areola;
(b) Human male genitals in a discernibly turgid state, even if completely or opaquely covered.
(7) "Specified sexual activities" means:
(a) Human genitals in a state of sexual stimulation or arousal:
(b) Acts of human masturbation, sexual intercourse or sodomy:
(c) Fondling or other erotic touching of human genitals, pubic region, buttock or female breast.
(8) "Used" as used herein describes a continuing course of conduct exhibiting "specified sexual activities" and "specified anatomical areas" in a manner which appeals to a prurient interest. (Ord. 2254 § 1, 1986).
(1) Adult entertainment land uses or adult establishments are prohibited within the area circumscribed by a circle which has a radius consisting of the following distances from the following specified uses or districts:
(a) Within or within 1,000 feet of the following land use districts: NC, GC, O/C, CBD, RF-1, R-1, R-2, R 3, R-4, TNR, RC, C-C and C-F;
(b) One thousand feet of any public or private school or an institution of higher learning;
(c) One thousand feet of any church or other religious facility or institution;
(d) One thousand feet of any public park;
(e) Within any trailer park or within 1,000 feet of any trailer park as defined by Chapter 7.28 LMC;
(f) Within 1,000 feet of any hospital;
(g) An adult entertainment land use shall not be located within a 1,000-foot radius of another adult entertainment land use except that such restrictions may be waived by the city council if it is found:
(i) That the proposed use will not be contrary to the public interest or injurious to nearby properties, and the spirit and intent of this section will be observed, and
(ii) That the proposed use will not enlarge or encourage the development of a "skid row" area, and
(iii) That the establishment of an additional use of this type in the area will not be contrary to any program of neighborhood conservation or improvement.
(2) The distances provided in this section shall be measured by following a straight line, without regard to intervening buildings, from the nearest point of the property parcel upon which the proposed use is to be located, to the nearest point of the property parcel upon which the proposed use is to be located, to the nearest point of the parcel of property or land use district boundary line from which the proposed land use is to be separated. (Ord. 3202 § 17, 2012; Ord. 3122 § 17, 2010; Ord. 3047 § 4, 2008; Ord. 2254 § 1, 1986).
(1) Off-street parking shall be provided in accordance with this code, and each parking area shall be paved, striped and lighted in accordance with the provision of this code.
(2) No signs or other structures shall be placed, erected or used on an adult entertainment land use without prior approval of the planning commission nor shall the building be painted in garish colors or such other fashion as will effectuate the same purpose as a sign(s).
(3) All off-site improvements such as curbs, gutters, sidewalks, drive approaches and streets shall be provided as required by the city engineer.
(4) The interior of an adult entertainment establishment shall be adequately lighted and constructed so that every portion thereof is readily visible to supervisory personnel.
(5) The lobby and entrance areas should be designated so as to minimize obstruction of sidewalks during operating hours.
(6) Advertisements, displays or other promotional material depicting, describing or relating to "specified sexual activities" or "specific anatomical areas" shall not be shown or exhibited so as to be visible to the public from pedestrian sidewalks or walkways, or from other areas, public or semipublic, and such displays shall be considered signs.
(7) All building openings, entries, windows, etc., from adult entertainment land uses shall be located, covered or screened in such a manner as to prevent a view into the interior from any public or semipublic area.
(8) No loudspeakers or sound equipment shall be used for adult entertainment land uses that can be discerned by the public from public or semipublic areas. (Ord. 2254 § 1, 1986).
If any section, subsection, sentence, clause, phrase or any portion of this chapter is for any reason held to be invalid or unconstitutional by the decision of any court of competent jurisdiction, such decision shall not affect the validity of the remaining portions of this chapter. The city council declares that it would have adopted the ordinance codified in this chapter and each section, subsection, sentence, clause, phrase or portion thereof irrespective of the fact that any one or more sections, subsections, sentences, clauses, phrases or portions be declared invalid or unconstitutional. (Ord. 2254 § 1, 1986).
Violation of the use provisions of this chapter is declared to be a public nuisance per se which shall be abated by the corporation counsel by way of civil abatement procedures only, not by criminal prosecution. (Ord. 2254 § 1, 1986).


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This research-based, multidisciplinary track focuses on cognitive, computational and social neurosciences, and integrates basic neuroscience methods, including molecular biology and genetics, with traditional experimental psychology and cognitive neuroscience. Students will attend multiple courses, including fundamentals in cognitive psychology, behavioral and social neuroscience, neuropsychology, psychophysiology, neural basis of perception, neural basis of consciousness, philosophy of science, critical thinking, structural and functional neuroimaging, and basic/advanced methods for data analysis. In particular, the CCSN track is designed to train researchers who will contribute to knowledge in areas such as multisensory perception, supramodality and cross-modality; sleep and consciousness; action recognition and motor control; neuroplasticity and learning; organization of semantic concepts; neurolinguistics; social and antisocial behavior; decision-making processes in economics and financial environments.
Students will specifically receive intensive practical research training in methods, experimental design, and data analysis in the laboratories of the MoMiLab research unit. An overview of human brain anatomy and neuroimaging techniques (mainly structural and functional MRI), electrophysiology (EEG, MEG and brain stimulation) will address research and clinical applications and their use in human subjects.
Within the interdisciplinary orientation of the IMT School, students will be exposed to seminars and conjoint research projects on different topics, ranging from molecular neurobiology of human behavior to advanced computational methods for the analysis of complex systems, from social neuroscience to decision-making processes in economic systems, from neuro-engineering applications in bionics and robotics to complex networks, from the neural bases of perception and conceptual representation to the image analysis and management of cultural heritage.
Candidates with a solid background in psychology, neuroscience, medicine, bio-engineer, bionics, computer sciences, linguistics, philosophy and logics are strongly encouraged to apply. Because of the multidisciplinary nature of this doctorate track, applications are anyhow welcome from any area of knowledge, including both scientific and social fields and humanities.
Graduates from this doctorate track will be able to pursue a career in research and academic institutions as well as in the private sector.
All the Research Units contribute to the track.
The students will have access to the internal Multidisciplinary Lab (equipped for EEG, psychophysics and psychophysiology measures) and to external MRI facilities (from 1.5T to 7T).
Ph.D. students will have also the opportunity to be involved in collaborative research programs with national and international institutions, including the Piaggio Research Center and the Neurolinguistic Center at the University of Pisa, the Department of Brain and Behavioral Sciences at the University of Pavia, the Department of Philosophy at the University of Milan, the Department of Biological Psychology and Neuropsychology of the University of Hamburg, the Department of Psychology at the University of Padua, the CIMeC – Center for Mind/Brain Sciences in Rovereto, the Center for Consciousness and Sleep at the University of Wisconsin, the Mind Research Network of the University of New Mexico, and the Center for Investigation and Research on Sleep of Lausanne University Hospital.


twisting, rolling, writing in a sea of tar.
thoughts of orange red sunsets, silver streams, and pale blue moonlights catalyze this final push to freedom.
Here I am, scrawny innocent, squeezed like toothpaste from a tube into a world of frozen panic.
Big Brother cameras snooping everywhere, CCTV stalkers.
Wolves in human form that tell us all to fly a kite.
Watchtowers, dormant daylight czars who censor skylines, giant concrete slabs that scar the heavens.
In my natural quest for freedom have I swooped one form of jailer for another?


text:
Live At Montreux, 2003
Simply Red are one of the most successful British acts of all time with global album sales in excess of 50 million. Both the band and Mick Hucknall as a solo artist have been frequent visitors to Montreux across their 25 year career. This concert, filmed in the summer of 2003, was part of the tour in support of their multi-platinum album "Home". It features several tracks from that album, including many of their biggest hits and best loved album tracks. It's a typically polished and sparkling Simply Red performance with Mick Hucknall in excellent voice and the band in fine form.
Simply Red Available In:
Rock, Folk, Singer Songwriter, Classic Rock, World, Blues, Progressive Rock, R&B, Soul, Metal, Pop, Alternative, Documentary, Jam Bands
Sad Old Red
A New Flame
Night Nurse
Something For You
Home Loan Blues
Come To My Aid
Something Got Me Started
Money's Too Tight To Mention
Shane MacGowan & The Popes
UK reissue of the former Pogues vocalist/ leader's 1995 solo debut, deleted in the U.S. 16 tracks, including the singles 'You're The One' & 'Haunted' (a duet with Sinead O'Connor), plus a duet with Maire Brennan of Clannad that was featured in the 1995 romantic comedy 'Circle Of Friends', which co-starred Minnie Driver & Chris O'Donnell.
Status Quos album Pictures (released in November 2008) celebrated 40 years of Status Quo filling the UK charts with hit after hit. The album was an instant success, charting at No.8 and selling over a quarter of a million copies in the UK alone. In July 2009 the Pictures live tour landed at Montreux in Switzerland as part of the world famous festival. The band, led as always by the twin Telecasters of Francis Rossi & Rick Parfitt, delivered a blistering set of hits and classic tracks from across their career including no less than 18 UK Top 20 hits. Huge screens behind the stage illustrated high points from Quos career and the usually reserved Swiss crowd were rockin all over the Auditorium.
Mike Oldfield took the world of music by storm at the age of 19 in 1973 with the release of his debut album, "Tubular Bells", which hit the No.1 spot in numerous countries and has gone on to sell in excess of 16 million copies worldwide. A naturally shy man, it was not until the end of the decade that he began to play live on a regular basis. In 1981, by now a confident stage performer, he embarked on his European Adventure Tour, which took in the Montreux Festival in July, where he performed in front of an enthusiastic sold out audience.
In 1993, Paul Rodgers released the acclaimed blues based album Muddy Water Blues with contributions from many special guest artists with a shared love for the blues. In July 1994 the tour in support of this album rolled into Montreux. The regular tour band was joined through the evening by a number of special guests to create a typically unique Montreux festival performance including an amazing finale of Hoochie Coochie Man where all the guests join in.
Jethro Tull is one of the most successful British acts of all time with a career reaching from the late sixties to the present day. In 2003 they made their first (and so far only) visit to the Montreux Festival. Split into a semi-acoustic first half and a full on electric second half, the concert was a triumph combining newer songs such as "Dot Com", "Pavane" and "Budapest" with classic favorites. As ever Ian Anderson leads from the front with his instantly recognizable voice and inimitable style of one-legged flute playing.
Mink DeVille
Willy DeVille is the founder, leader and principal songwriter of the band Mink DeVille. The band came out of the mid-70s New York punk scene, but first broke worldwide with their 1977 hit Spanish Stroll. Their music belied their punk roots and mixed soul with R & B, blues and Cajun influences. The band continued to release albums until the mid-80s when Willy began to perform and record under his own name. His solo single Storybook Love was nominated for an Oscar after it appeared in the film The Princess Bride.
Filmed just a year before his untimely death from cancer, this 1992 concert from Montreux finds the great Albert Collins still in fine form. With his trademark Fender Telecaster and distinctive finger picking style well to the fore "The Iceman" delivers a set that runs from his early million selling single "Frosty" right up to songs from his final studio album "Iceman". As an added bonus there are four lengthy tracks from Albert Collins' 1979 appearance at Montreux.
Alice Cooper's live shows are legendary for their sense of rock theatre and sheer visual spectacle. This latest addition to our range of titles from the renowned Montreux Festival catches Alice Cooper at his very best. Underpinning the visual assault has always been a collection of some of the best rock songs around delivered by one of the all-time great frontmen and this show includes tracks from across his career right up to most recent album Dirty Diamonds and incorporating all the classics you would expect.
Gary Moore is one of the best rock and blues guitarists ever to come out of Ireland. In 1990 he released Still Got The Blues which went on to be his biggest selling album around the world. This concert from the Montreux Jazz Festival was recorded on July 7, 1990 on the tour for Still Got The Blues. It features the band used on that album and special guest Albert Collins, who had also appeared on the album. Nine of the tracks in the set are taken from that album, three of which were UK hit singles.As a bonus feature three of his biggest rock hits, Out In The Fields, Over The Hills & Far Away and an over 10 minute long version of the classic Parisenne Walkways are included from his concert at the Montreux Jazz Festival on July 9, 1997.
Phil Collins has made a number of appearances at Montreux over the years as a solo artist, with his big band or as a guest performer with the likes of Eric Clapton and Quincy Jones. This concert was filmed at the 2004 festival and captures Phil performing all of his best known hits from his solo career. This was the first time any of Phil's big band material has been made available.
Live at Montreux Jazz Festival 1989
Youssou N'Dour is one of the true superstars of African music. A native of Dakar in Senegal he has been singing and performing since his childhood. He has performed with many leading western artists including Paul Simon, Neneh Cherry and Branford Marsalis but is perhaps best known for his association with Peter Gabriel. He was one of the stars of the 1988 Amnesty Tour and appeared at 8 Live concerts in Hyde Park, the Eden Project, Paris and Edinburgh – three of them on the same day! This concert from 1989 features Youssou N'Dour with his band Le Super Etoile de Dakar and was the first of four appearances he has made at the Montreux festival to date. N'Dour's voice is as fine as ever and the show is a showcase for the colour, emotion and energy so characteristic of his performances.
Big Sound Authority
The English pop band formed in 1983, including Tony Burke, Julie Hadwen and Martin Wilson were signed to Paul Weller's label Respond Records. This performance is part of the amazing 'Live From London' series.
When the Stray Cats rolled into Montreux in July of 1981 they were one of the hottest properties around. They had 3 hit singles and a UK top 10 album already under their belts along with a string of headlining concerts, all of which had come since their relocation from New York to London in 1980. The band's combination of original songs and rockabilly classics with a punk attitude and style had caught the moment to perfection. Added to this were their considerable musical accomplishments and knack for songwriting. All in all it was a heady concoction and the crowd in Montreux reacted with near hysterical excitement, something rarely seen in what is usually a polite and reserved audience. This is the Stray Cats at their peak.
The Chevalier Brothers
Formed in London, in 1982 by Ray Gelato and Maurice Chevalier. The Chevalier Brothers started out busking on the streets of London town. They established themselves as a 'live unit' whilst traveling across and throughout Europe, Japan and North America. They disbanded in 1988 so this rare video from the 'Live From London' series is a must see.
Yes are one of the most innovative and successful rock bands of all time with a career that now spans five decades. In 2003 the band made their first appearance at the Montreux Festival, despite having a long association with the town itself (they recorded there frequently in the seventies). It was a triumphant night and is regarded by both the band members and fans as probably the finest Yes gig ever to be filmed. It has been much in demand and is now finally cleared for release.
Live at Shepherds Bush Empire
Mike & The Mechanics was formed in 1985 by Mike Rutherford of Genesis as a separate project to run alongside his work with Phil Collins and Tony Banks. They released their eponymous debut album the same year featuring vocals from both Paul Carrack (ex of Ace) and Paul Young (ex of Sad Caf) and had an immediate hit with Silent Running. In 2004 the band reunited for the first time since the sad death of Paul Young in 2000 and released a new studio album Rewired. With Paul Carrack now handling all the lead vocals they went out on the road across Europe, culminating in this outstanding performance at Londons Shepherds Bush Empire.The show features four tracks from the new album, tracks from all their other albums and a greatest hits list that includes such classics as Silent Runing, Another Cup Of Coffee, Beggar On A Beach Of Gold, Over My Shoulder, Word Of Mouth and of course The Living Years.
Acoustic - Live in Newport
The Pixies are one of the most influential American acts of all time. Initially spanning the late eighties and early nineties they created the blueprint for alternative rock that would be followed and embellished upon by everyone from grunge to Britpop. After 10 years apart the Pixies reformed in 2004. This film features their first ever all acoustic performance filmed at the famous Newport Folk Festival and is a companion to the simultaneously released Club Date: Live At The Paradise Club, Boston.
The Beat is the Law: Fanfare For The Common People
Glastonbury Festival, 1995: The Stone Roses pull out of their headline set after a mountain bike accident and Rod Stewart is unavailable. As last minute replacements, Pulp take to the stage to face 80,000 people. They deliver a set regarded as one of the best in the festival's history and are catapulted to the forefront of the Britpop movement—an achievement that ten years earlier seemed like an impossible dream. Made with the full cooperation of Pulp, The Beat is the Law brings together original interviews, performances, promos, newly unearthed live footage and home videos to tell the story of Pulp and their contemporaries' journey from the darkest industrial depths of Sheffield to the pinnacle of pop via the consciousness-raising techno/house of Warp Records. Featuring original interviews with Pulp's Jarvis Cocker, Russell Senior, Candida Doyle and Nick Banks, plus Richard Hawley (Longpigs), Mark Brydon (Chakk/FON/Moloko), Rob Gordon (FON/Warp), Adi Newton (Clock DVA) and many more!
The Last Watusi
These New Orleans legends played their final shows at Tipitinas in New Orleans. Dubbed The Last Watusi, the band celebrated their storied 33-year career with a three-night run, starting with an acoustic show and closing their time together with a sold-out show two nights later. The energetic concert featured such fan favorites as Monkey Meet and River Run, which included an Over Under Sideways Down tease by guitarist Dave Malone. After a lengthy set the band came back out for an encore featuring a rendition of The Radiators original Confidential that segued into a cover of Willie Dixons blues classic Back Door Man. iClips.com streamed all three nights, and will keep these shows in their streaming archive until June 17.
The Cherry Bombz
The Cherry Bombz 'Live From London' performance brings their hard rock / glam sound to the UK stage. Performing their greatest songs to an full house this shows the band in fine form. Includes: 'House Of Ecstasy', '100 Degrees In The Shade', 'Pin Up Boy', 'Oil And Gasoline', 'Sweet Pretending' and more..
Live at Red Rocks: Day 1, Part I
In the first of three sold out shows at Red Rocks Amphitheatre, Widespread Panic, currently celebrating its 25th anniversary, dazzled devoted fans with an old-school show that lasted close to three hours.
It seemed appropriate that they kicked off the show with "Postcards," with its line: This town is nuts, my kind of place, I dont want to leave. Given the love the band and fans have for Red Rocks shows, it sometimes feels like they could simply play every summer show there and the fans would journey from around the country to see them.
On "Ribs and Whiskey," lead guitarist Jimmy Herring picked piercing trills over lead vocalist John Bells sultry, lazy slide playing while bassist Dave Schools laid down a funky groove underneath. Out of a long jam, percussionist Domingo Sunny Ortiz took a little solo and then locked in with Schools on the intro to the instrumental, "Party At Your Mama's House."
As the band closed out with a fiery "Radio Child," Bell stepped up and said they'd see everybody tomorrow night. The amphitheater then got turned into a disco, as the house lights mimicked a disco ball and the PA blared Michael Jacksons "Don't Stop 'Til You Get Enough," a perfect backing track for fans to dance down to their cars.
Widespread Panic is currently celebrating its 25th anniversary
A band that doesn't repeat set lists and likes to stretch things out, you'll never know which show will be THE show that every fan will wish they had been at. Saturday night, their second of a three-night run at Red Rocks, Widespread Panic hit higher heights than they did the previous night.
By the time the band took the stage at 7:50 p.m., the energy among the fans was electric. Panic wasted no time delivering the goods, opening with a one-two punch of "Sometimes" and "North." Dave Schools stepped up with a bass break during the former, and lead guitarist Jimmy Herring and keyboardist John "JoJo" Hermann traded singing solos and rolling fills on the latter.
Live at Red Rocks: Day 1, Part II
The Moody Blues were formed in Birmingham in the early sixties and were immediately successful, going to No.1 with their second single Go Now. As the sixties progressed, their music evolved into a more lush, psychedelic sound, and with the arrival of Justin Hayward and John Lodge, the classic line-up came together and produced the masterpiece Days Of Future Passed, which contained their classic hit singles Nights In White Satin and Tuesday Afternoon. The resulting level of success propelled the band forward. This show from July 1991 is the band's only Montreux appearance to date. With a line-up including John Lodge, Justin Hayward, Ray Thomas, and Graeme Edge, the exceptional performance includes classics such as Gemini Dream, Question, Isn't Life Strange, I'm Just A Singer (In A Rock And Roll Band), Your Wildest Dreams and of course, Nights In White Satin.
Pavarotti & Friends	Nessum Dorma!
Together For The Children Of Bosnia
Luciano Pavarotti & Friends


Discover Tokyo as you would if you were visiting a friend who lived there! With a full day to explore, discover the real Tokyo with a like-minded Local Host who will create an personalised experience customised to include the famous attractions you'd most like to see, as well as revealing a few hidden gems along the way! See the city's highlights or discover local neighbourhoods (or do both!), get oriented and immerse yourself in Tokyo's unique culture with a Local Host by your side to navigate. Ditch the guidebook and see Tokyo like a local!
On this personalised experience, join a like-minded Local Host who will share insider insight and tips so you can get acquainted with Tokyo's culture. They'll also introduce you to Tokyo's famous sights as well as local hidden gems.
You could start the day by visiting Asakusa with famous its Senso-ji Temple and nearby Asakusa-jinja Shrine, or perhaps take the subway across town to Shibuya. Maybe you'd like to walk across the famous Shibuya Crossing and up into one of the city's best shopping districts - the possibilities are endless!
Eat like a local when you stop for lunch at an authentic spot recommended by your Local Host that suits your tastes and budgets. Snack on delicious local street food along the way too - your Local Host will explain the different options and any dishes you may be unfamiliar with!


text:
Ibusa Club lauds oil firm, others for promoting yearly football tourney
Ibusa Sports Club at the weekend lauded North West Petroleum and Gas Company for sponsoring a yearly football competition for the youths of the community and its environs.
The club said the firm has continued to ensure that the youths have an avenue to practice their talents and build towards lucrative careers in football.
Speaking on this year's edition of the competition, the Coordinator of the championship, Mr. Emma Amatokwu a.k.a Kwasa, said due to the company's commitment in the last four years, the tournament has become more exciting in terms of increased participation and financial benefits.
He also lauded other prominent Ibusa indigenes, who have supported the tourney financially and morally, over the past 36 years.
He thanked the Managing Director/CEO, North West Petroleum & Gas Limited, Dame Winnie Akpani, for her leadership role in making the yearly event memorable, adding that the 2021 edition will begin on December 18.
He explained that the last four years have brought remarkable changes to the competition through the aid of the oil company, saying, "For instance, the winning team's cash prize rose from N100, 000 to N500, 000, while the second and third-placed teams now get N300, 000 and N200, 000 respectively.
He added: "Individual's cash prizes have increased from N20, 000 to N50, 000 with the firm also providing branded jerseys and hoses yearly for all the 10 teams that participate in the event.
"The company also takes care of decorations of the football arena, among others."
He urged both the oil firm and Ibusa sons and daughters not to relent in their priceless service to the community.
football tourney
Keep faith in the country, Lawan urges Nigerians
The President of the Senate, Ahmad Lawan, has urged Nigerians not to lose faith in the country and its democratic institutions, saying the current challenges would be overcome


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The Last Blog Name On Earth
← 52 Before 62 #14 – Bend of the River (1952)
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June 6, 2019 · 1:03 pm
The Also-Rans Project – Vice (Best Picture Also-Ran 2018)
Directed by Adam McKay
Written by Adam McKay
Starring Christian Bale, Steve Carrell, Amy Adams, Sam Rockwell, and Jesse Plemons
Here's a fun game to play when you want to depress yourself about how the Academy of Motion Picture Arts and Sciences has no clue about what is, and is not, Oscar-worthy: Oscar winners vs. Oscar not-winners.
Oscar Winner Oscar Not-Winner
Writer of trashy suspense novels and creator of I Dream of Jeannie, Sidney Sheldon[1] Alfred Hitchcock
The director of Dumb and Dumber and Shallow Hal, Peter Farrelly[2] Norman Jewison
The director of Dirty Dancing, Emile Ardolino[3] Phillip Kaufman
Dean Pelson (Jim Rash) from Community[4] Sidney Lumet[5]
The director of Galaxy Quest, Dean Parisot[6] Hal Ashby
Voice of K-Billy's Super Sounds of the 70s, Steven Wright[7] David Lynch, George Lucas, Michael Man, Robert Altman, Sam Peckinpah, John Boorman, and Paul Thomas Anderson
What does this game have to do with Vice? The relevance is Adam McKay. You see, the man otherwise known as the director of Anchorman: The Legend of Ron Burgundy and Step Brothers,[8] won an Oscar as co-writer on his last film, The Big Short, putting him on the same Oscar footing as men like Martin Scorsese[9], Stanley Kubrick[10], and Orson Welles[11], and ahead of all the Oscar Not-Winners above. What a wonderful world, right?
After his Lady Macbeth-ish wife demands he "Stand up and be somebody," Dick Cheney (Christian Bale) rises from a lowly Yale University-flunkout to be the most powerful man in America not elected president. In the process, he redefines the limits of executive power and reshapes the vice presidency, at the expense of democracy.
The essential task of any biopic is abridging a person's life into a digestible couple of hours of entertainment without leaving it feeling like a Spark's Notes take on events. Amongst the possible modes of attack, then, is to focus on a wholly discreet part of the subject's life and hope that discreet part says everything desired about the whole, see e.g. Lincoln, which covers the short period of time at the end of the Civil War, or The Social Network, which covers just a few years in the early aughts. Or, you can be a bit non-literal with the contours of a 'biopic' and give it the Steve Jobs treatment, where you distill the essence of the person's life into an unusual narrative and ignore strict factuality in favor of ecstatic truth.
Vice tries to have it both ways, to an extent. It's skips liberally over great swaths of Cheney's life in the same way Walk the Line does, so as to get to the greatest hits, but also tries to use the small bits to make larger statements about the man himself. And it does so by flexing the narrative and style. In this way, Vice seems to want to be both styles of biopic, at the same time it wants to be neither, while also charting a third course. That it only partially succeeds at all is often to its own detriment.
No matter the approach, the cruel truth of Vice is it will ultimately play well to the folks who lived through the Cheney years, but have diminishing results for later generations. Think I'm kidding? Ask yourself when was the last time anybody talked about the film Wilson, based on the life of Woodrow Wilson, or any other movie about any other president for that matter. In other words, one's familiarity with the subject will enhance, or decrease, one's enjoyment of the film in equal proportion. But even as this is true, it's also secretly false because so often Vice forgets that it should entertain and enlighten, and instead of focusing on the more interesting, unknown items, it only hits the familiar talking points. For instance, I was intrigued how Cheney got from Wyoming to Yale, and then how, after he flunked out of Yale and was back in Wyoming working for the state, he managed to drag himself out that. And also how Cheney was a congressional intern, without exploring it, leaving so many questions about the man unanswered. Basically, this movie has no time for album-cuts, only the greatest hits.
And if it had spent more time on the deep cuts we'd get more of the nuance of Cheney the man. For instance, to me the movie seems to posit that Cheney had no political philosophy prior to coming to the job and only became a Republican because he was charmed by Donald Rumsfeld. There was a fascinating thought in that the naïve Cheney came to Washington free of political leanings and was instantly seduced to the dark-side by the cult of Donald Rumsfeld, but the movie wanted to do the greatest hits, and nothing but.
Because Cheney is a divisive figure director McKay knows that he's going to have to bring something narratively/stylistically to the film, to make it palatable. He's going to have to bring some flair. And, just as he did in The Big Short, McKay livens up the proceedings as much as he can. He has false starts and stops throughout. He allows the film to turn into a Shakespearean dialog at one point. He allows more than one meta moment, and even climaxes the film with probably the most graphic open-heart surgery put into a film since All The Jazz, which itself was fairly graphic in its open-heart surgery. Even so, given my disappointment at the story choices, I'm not sure the narrative style is enough.
As to the performances, Christian Bale's take on Cheney is a let-down, bordering on cartoonish. Occasionally he gets the Cheney walk down pat – there's one moment where he's walking down a bland hallway of some government building, looking ever-so-slightly bowlegged and bullish, that you think you're seeing the real Dick Cheney in action. Or, at least you're seeing the way I imagine Dick Cheney walks. But the voice and the facial mannerisms Bale employs are wrong, and one step short of moustache-twirly. If the movie was meant to be a heightened, arch-comedy – and part of me thinks it was sort-of conceived that way – then a broadly acted villain turn would be right for it. But as the movie tends to play out like a tragedy, where the victim is the United States and democracy, then this particular reading of Dick Cheney lands with a thud.
Amy Adams is okay – she's not terrible, but she's not great. Mostly, she seems to be revisiting her work from The Master, to diminishing returns. Sam Rockwell as George W. Bush is good, and really captures what the man has in personal magnetism, and also what he lacks in command of the details. The disappointment in the role is it's so small. Steve Carrell really stands out for a fantastic performance as Donald Rumsfeld, relishing the chance to double-down on the unrepentant asshole vibe we knew he was always capable of bringing to a project like The Office, but which was tamped down, for obvious reasons. The one cast member who truly clangs is Tyler Perry as Colin Powell – it's just too disorienting to see the man better known as Madea trying, and failing, to play the gravitas of one of the seminal American figures of the last 30 years.
Is This Just A Hit Job?
The danger of making a movie about a well-known/much-loathed political figure is the temptation to eschew balance, turning it into a screed/hit-job. And in a sense, this movie is a hit-job, but if it is, it uses the subjects actions, unvarnished, against himself. Moreover, the film knows quite well that it will be seen as a hit-job, no matter what it does, and so attacks that notion head-on in a meta way: late in the film there is a focus group meeting that turns itself around on the film, with both sides to the argument laying out its case for how it is un/biased. Finally, just to make sure it's fair as possible to Cheney the man, the film allows Bale-as-Cheney to directly address the camera and justify everything. His point? Everything I did was to make you safer. And while that justification seems a bit of a sanctimonious put on, it at least gives Cheney the chance to say, "Yes, I did all that, but I did it because I thought it was best for you."
Better Than Best?
The Best Picture winner for 2018 was Green Book, a movie some critics called a travesty and the worst film to win Best Picture since Crash beat Brokeback Mountain. I call those same people crazy because I found Green Book movie enjoyable, but simplistic. Yes, Green Book's triumph of The Favourite is on par with Crash beating Brokeback Mountain, but in terms of 'worst since…' it's more like the worst since Birdman in 2014.
Anyway, the question here isn't about 'worst since…', it's about whether Vice is better than the best picture winner 2018. On the whole, the answer is mixed. While I found Vice to be a better film, and more trenchant about the political targets it takes on, with better acting top to bottom, and a more reasoned approach to its subject – relatively speaking – the truth is Vice is a movie that makes you feel bad. It makes the case that people like Dick Cheney were actively making the world worse by being in it, which we as voters, and lazy fuckers, abetted, and draws a line directly from Dick Cheney to the election of Donald Trump and the chaos in the country. Hardly a feel-good movie.
On the other hand, simple as it is, Green Book is meant to be a crowd pleaser and at the end left me in a happier place than when I started. It might be manipulative, but Green Book is also ingratiating.[12] Which means while I think Vice is the hands-down better film, if given a choice on which to watch next, I might pick Green Book.
Please Read/Buy…
See the rest of the Also Rans Project here.
Also, don't be afraid to have a look at the thing that inspired this, The Best Picture Project. Or, you could buy the revised, updated version of that project in book form: E-Book or Paperback.
To be a pal and buy my books, jum.p over here and here and have a look. I promise, buying always makes you feel good.
[1] Best Original Screenplay, The Bachelor and the Bobby-Soxer (1947)
[2] Best Picture and Screenplay, Green Book (2018)
[3] Best Documentary, He Makes Me Feel Like Dancin' (1983)
[4] Best Adapted Screenplay, The Descendants (2011)
[5] Honorary Oscars do not count as Oscar wins.
[6] Best Live Action Short, The Appointments of Dennis Jennings (1988)
[8] Both of which have their value.
[9] Best Director, The Departed (2006)
[10] Best Visual Effects, 2001: A Space Odyssey (1968)
[11] Best Screenplay, Citizen Kane (1941)
[12] And, let's be honest: what movie isn't manipulative?
Filed under The Also Ran's Project
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GUTS Recruitment 2022 - Apply for 22 Professor, Associate Professor & Other Posts
Gujarat University Transplantation Sciences
53,100 to 218,200
Gujarat University Transplantation Sciences (GUTS) has announced a new recruitment notification for the posts of Professor, Associate Professor, Assistant Professor, Tutor, and Nursing Principal. GUTS has about 22 Vacancies. Aspirants who have qualified in Post Graduation and Ph.D. are eligible. Required candidates must visit the official website http://www.guts.education. However, Aspirants with essential qualifications can apply from GUTS Recruitment 2022 on or before the last date. Check the more details mentioned given below.
Government Jobs Notifications
Opening date for submission of the application: 01st January 2022.
Last date for submission of the application: 15th January 2022.
GUTS Professor, Associate Professor & Other Jobs 2022
Organization: Gujarat University Transplantation Sciences
Post Name: Professor, Associate Professor, Assistant Professor, Tutor, and Nursing Principal
Professor:-
Abdominal Organ Transplantation Surgery (Liver): 02
Immunohematology and Blood Transfusion Service: 02
Intervention Radiology: 01
Infection Radiology: 01
Hepatology: 02
Radiology: 02
Associate Professor:-
Urology: 01
Nephrology: 01
Assistant Professor:-
Tutor:-
Nursing Principal:- 01
GUTS Jobs 2022 - Eligibility Criteria
Candidates must have qualified in Post Graduation, Ph.D. from a recognized University/Institute.
The candidates should have an age between a minimum of 18 years to maximum age of 52 years as of the closing date of the applications.
General category candidates are required to pay fee of Rs.500/-
SC/ST/SEBC/EWS/PD category candidates are required to pay fee of Rs.250/-
Professor: Rs.1,44,200 - 2,18,200 per month.
Associate Professor: Rs.1,31,400 - 2,17,100 per month.
Assistant Professor: Rs.68,900 - 2,05,500 per month.
Tutor: Rs.53,100 - 1,67,800 per month.
Nursing Principal: Rs.78,800 - 2,09,200 per month.
Visit the official website http://www.guts.education
Check the notification details to know whether eligible or not.
Download the application form given on the official website.
Pay the application fee.
Eligible may send the application form along with self-attested copies of Education Qualification, Experience, Age Proof, and other relevant documents to the address stated below.
GUTS, Opp.Trauma Centre,
Civil Hospital Campus, Asarwa,
GUTS Recruitment 2022 - Official Notification


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BiographyGary Kroeger
Gary Kroeger
Birth Name: Gary Kroeger
Occupation: Game Show Host
Born In: Cedar Falls, IA
Gary Kroeger was born on the 13th of April, 1957. He is known for being a Game Show Host. He once did a popular Christmas sketch on Saturday Night Live as Donny Osmond. Gary Kroeger's age is 63. Actor who became known for his work on Saturday Night Live and game shows: The Newlywed Game and Beat the Clock.
The 63-year-old game show host was born in Cedar Falls, IA. He attended Northwestern University and graduated in 1981. He was the announcer on Card Sharks and Press Your Luck.
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The 63-year-old American was born in the Baby Boomers Generation and the Year of the Rooster
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REAL NAME: Gary Kroeger
NICKNAME: Gary
AGE GENERATION: Baby Boomers Generation
BIRTH DAY: Saturday
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Gary Kroeger's birth sign is Aries and he has a ruling planet of Mars.
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Fact Check: We strive for accuracy and fairness. If you see something that doesn't look right, contact us. This page is updated often with latest details about Gary Kroeger. Bookmark this page and come back often for updates.


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Burgoberbach est une commune allemande de Bavière, située dans l'arrondissement d'Ansbach et le district de Moyenne-Franconie.

Géographie

Burgoberbach est située à  au sud d'Ansbach, le chef-lieu de l'arrondissement.

Histoire
Burgoberbach a été une possession des évêques d'Eichstätt avant d'appartenir, de 1803 à 1806, aux comtes d'Oettingen et de devenir, en 1806, possession du royaume de Bavière.

Jusqu'en 1945, Burgoberbach a fait partie de l'arrondissement de Feuchtwangen.

En 1972, les communes de Neuses, Niederoberbach et Sommersdorf sont incorporées à la commune de Burgoberbach.

Démographie

Monuments
 Château de Sommerdsdorf, dans le village de Sommersdorf. Construit au  par Ludwig von Eyb, il est devenu la possession de la famille von Crailsheim au , qui l'occupe toujours, il a été remanié au .

Personnalités
 , (1420-1475), un des premiers écrivains humanistes allemands, est né à Sommersdorf.

Liens externes
 Site de la commune

Notes et références

Commune en Bavière

redpajama_set_name: RedPajamaWikipedia