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Workshop posters | ACML 2019
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ACML2019 workshop on Machine Learning for Trajectory, Activity, and Behavior (ACML-TAB2019)
ACML 2019 Workshop on Statistics & Machine Learning Researchers in Japan
Poster Sun01 Interpretable classification of complex collective motions using graph dynamic mode decomposition
Keisuke Fujii, Naoya Takeishi and Yoshinobu Kawahara
Poster Sun02 Data-driven modeling of locomotor behaviors in game-based chase and escape interactions
Kazushi Tsutsui, Keisuke Fujii and Kazuya Takeda
Poster Sun03 Statistical Significance of Discriminative Sub-trajectory
Duy Nguyen Le Vo, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei and Ichiro Takeuchi
Poster Sun04 On Trajectory Interpolation using LSTM
Ryota Tomonaka, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda and Ken Yoda
Poster Sun05 Position estimation using multi-channel audio signals
Kazuki Fujimori, Bisser Raytchev, Kazufumi Kaneda, Emyo Fujioka, Shizuko Hiryu and Toru Tamaki
Poster Sun06 Analyzing whole brain activities of a worm using data-driven models
Chentao Wen and Kotaro Kimura
Poster Sun07 Congestion Mitigation Verification using a Theme Park Guide Schedule
Ryota Shimizu, Takahiro Uchiya and Ichi Takumi
Poster Sun08 Flow Histogram-based Recurrent Neural Network for Visual Odometry Estimation
Yukihiro Achiha, Tsubasa Hirakawa, Takayoshi Yamashita and Hironobu Fujiyoshi
Poster Sun09 Transferable Representation Learning for Human Activity Recognition in Smart Homes
Hao Niu, Kei Yonekawa, Mori Kurokawa, Shinya Wada and Kiyohito Yoshihara
Poster Sun10 Unraveling te foraging strategies of breeding seabirds by combining trajectory, activity, and physiology
Shiho Koyama, Yuichi Mizutani and Ken Yoda
Poster Sun11 Preliminary investigation of co-occurrence rule extraction for sex-specific behavior of Streaked Shearwater
Yiming Tian, Takuya Maekawa, Joseph Korpela, Daichi Amagata, Takahiro Hara, Sakiko Matsumoto and Ken Yoda
Poster Sun12 Distributed Non-Convex Least Squares Localization Problem
Javier Zazo, Melanie F. Pradier and Santiago Zazo
Poster Sun13 Deep Neural Network for Estimating Bat Pose
Tiwat Larpvisuttisaroj and Koichi Hashimoto
Poster Sun14 Autonomous Navigation Guidance for Human through wearable light Stimuli
Sandeep Nayak, Kazunori Ohno and Satoshi Tadokoro
Poster Sun15 Vehicle anormality evaluation using probe trajectory data
Shintaro Takayama, Masao Kuwahara, Yosuke Kawasaki, Shogo Umeda and Koichi Hashimoto
Poster Sun16 Generation and Visualization of Tennis Swing Motion by Conditional Variational RNN with Hidden Markov Model
Yasutaka Furusho and Kazushi Ikeda
Poster Sun17 Comparative Sequential Pattern Mining of Human Trajectory Obtained from BLE Beacons Collected by Smartphones
Shinsuke Kajioka, Takuto Sakuma and Ichiro Takeuchi
Poster Sun18 Pedestrian Flow Estimation Using Sparse Observation from Autonomous Vehicles
Ranulfo Bezerra, Kazunori Ohno, Thomas Westfechtel and Satoshi Tadokoro
Workshop 2: ACML2019 RIKEN AIP workshop
Poster Sun19 Advancing Multi-Task Learning for Text Classification
Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine
Poster Sun20 3D Immersive Situation Creation using Natural Language Description
Maryam Sadat Mirzaei, Sophearin Tang, Toyoaki Nishida
Poster Sun21 On te Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Nan Lu, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama
Poster Sun22 Encoder-Decoder Approach for Signals: wave2wave
Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda
Poster Sun23 Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
Poster Sun24 Safe Grid Search with Optimal Complexity
Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
Poster Sun25 Direction Matters: On Influence-Preserving Graph Summarization
Wenkai Xu, Gang Niu, Aapo Hyvarinen, Masashi Sugiyama
Poster Sun26 Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
Ming Hou, Jiajia Tang, Qibin Zhao
Poster Sun27 Approximate Inference turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi, Maciej Korzepa
Poster Sun28 Practical Deep Learning with Bayesian Principles
Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan
Poster Sun29 Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
Workshop 3: ACML'19 Weakly-supervised Learning Workshop
Poster Sun30 Label-noise Learning by Maximum Mean Discrepancy
Poster Sun31 Self-Training with Privileged Information
Richard Delava, Evgueni Smirnov, Ron Diris
Poster Sun32 Learning CNN Age Predictor From Training Set Contaminated by Non-Faces
Poster Sun33 Complementary Label Learning by Likelihood Minimization
Yu-Ting Chou, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama
Poster Sun34 Influence-Preserving Classification for Directed Graphs
Wenkai Xu, Gang Niu, Aaop Hyvarinen, Masashi Sugiyama
Poster Sun35 Guaranteed Matrix Completion under Multiple Linear Transformations
Chao Li, Qibin Zhao
Poster Sun36 Uncertainty Regularized Multi-Task Learning for Text Classification
Kourosh Meshgi, Maryam Sadat Mirzaei, Satoshi Sekine
Workshop 4: ACML 2019 Workshop on Statistics & Machine Learning Researchers in Japan
Poster Sun37 Spectral Embedded Deep Clustering
Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori
Poster Sun38 Using Artificial Intelligence to Automate Body Movement Analysis
Poster Sun39 Conversion from a Real-Weighted Majority Voting Classifier to a Small-Non-Negative-Integer-Weighted Thresholded Voting Classifier
Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo
Poster Sun40 Neural Network Modeling of Point Processes via Cumulative Hazard Function
Takahiro Omi, Naonori Ueda, Kazuyuki Aihara
Poster Sun41 Learning a Nonlinear Model of Subgraph Features Using Monte Carlo Tree Search
Ryo Shirakawa, Atsuyoshi Nakamura, Mineichi Kudo
Poster Sun42 Reinforcement Learning in Latent Action Sequence Space
Heecheol Kim, Masanori Yamada, Kosuke Miyoshi, Tmoharu Iwata, Hiroshi Yamakawa
Poster Sun43: [Cancelled] Deep neural networks for soccer match outcome prediction
Rintaro Watanabe, Daniel Berrar
Poster Sun44 Simulator Calibration under Covariate Shift with Kernels
K. Kisamori, M. Kanagawa, K. Yamazaki
Poster Sun45 Te effect of learning rates on model-agnostic meta-learning
Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida, Masato Okada
Poster Sun46 Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
Pengzhou (Abel) Wu, Kenji Fukumizu
Poster Sun47 FINDING LOW-DIMENSIONAL DYNAMICAL STRUCTURE BY VARIATIONAL AUTO-ENCODING DYNAMIC MODE DECOMPOSITION
Shin MURATA, Yuma KOIZUMI, Noboru HARADA
Poster Sun48 Pseudo Ensemble Technique with a Single Model
Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama
Poster Sun49 An Extension of Grassmann Discriminant Analysis for Image-set Based Recognition
Naoya Sogi, Lincon S.Souza, Kazuhiro Fukui
Poster Sun50 Statistical Estimation of te Effects of First and Second Order Local Structures on Growth of Complex Networks
Masaaki Inoue, Thong Pham, Hidetoshi Shimodaira
Poster Sun51 Micro-Facial Expression Classification by SVM with Spatio-Temporal HOG Features
Kenta Nakajima, Tomoko Ozeki
Poster Sun52 Learning Locally Structured Dataset with Gradient-Based Meta-Learning
Yoshihiro Nagano, Shiro Takagi, Yuki Yoshida, Masato Okada
Poster Sun53 Random neural field learning: Formalization and numerical experiments via NTK
Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari
Poster Sun54: [Cancelled] Why Random Projection based kNN rules perform well in high-dimensional settings? Cancelled
Poster Sun55 Acceleration of Neural Architecture Search by Policy Gradient with Credit Assignment
Rei Sato, Youhei Akimoto, Jun Sakuma
Poster Sun56 Object and Text recognition with portable VPU and TPU sticks on RaspberryPi
Deepak Rai, Tomoko Ozeki
Poster Sun57 Scaling Limit of Random Neural Networks and Free Probability Theory
Poster Sun58 Hypothesis Test and Confidence Analysis with Wasserstein Distance on General Dimension
M. Imaizumi, H. Ota, T. Hamaguchi
Poster Sun59 On Empirical Analysis of Layer-wised Learning Rate Schedule
Hiroki Naganuma, Rio Yokota
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