Conducting a literature review 02/14/2014 Preparing the training data set 02/21/2014 Selecting and extracting features 02/21/2014 Building and training the Multi-class classifiers 02/28/2014 Evaluating the accuracy for Multi-class classifiers 02/31/2014 Presenting midterm project status 03/06/2014 Further Tuning to the target data 03/12/2014 Building and Training Single-class classifiers for the whole ACM tree 03/19/2014 Identifying and collecting the target data set 04/09/2014 Transfer learning (Classifying the target data using different 04/09/2014 approaches) Applying Bootstrapping technique 04/14/2014 Evaluating the Single-class classifiers based on results from the target 04/16/2014 data Filtering and Tuning to get better classifier’s accuracy 04/21/2014 Presenting the final project outcomes 05/01/2014 Final review, modifications and failure analysis 05/05/2014 Submitting the final project report along with all project associated 05/08/2014 files Challenges and Learning Following is a brief summary of the challenges we faced and actions we took to solve them. Target Data Collection Availability and quality of target data Section V illustrates different approaches that we have used to collect the target data from YouTube. Availability and quality of this target data posed a problem
Conducting a literature review 02/14/2014 Preparing the training data set 02/21/2014 Selecting and extracting features 02/21/2014 Building and training the Multi-class classifiers 02/28/2014 Evaluating the accuracy for Multi-class classifiers 02/31/2014 Presenting midterm project status 03/06/2014 Further Tuning to the target data 03/12/2014 Building and Training Single-class classifiers for the whole ACM tree 03/19/2014 Identifying and collecting the target data set 04/09/2014 Transfer learning (Classifying the target data using different approaches) 04/09/2014 Applying Bootstrapping technique 04/14/2014 Evaluating the Single-class classifiers based on results from the target data 04/16/2014 Filtering and Tuning to get better classifier’s accuracy 04/21/2014 Presenting the final project outcomes 05/01/2014 Final review, modifications and failure analysis 05/05/2014 Submitting the final project report along with all project associated files 05/08/2014 Challenges and Learning Following is a brief summary of the challenges we faced and actions we took to solve them. Target Data Collection Availability and quality of target data Section V illustrates different approaches that we have used to collect the target data from YouTube. Availability and quality of this target data posed a problem
Ensemble_Classification_Final_Report.docx