This reposotory contains the projects for the MVA's class: Unsupervised Learning: From Big Data to Low-Dimensional Representations Here is the course website: http://www.vision.jhu.edu/teaching/learning/learning17/mva-cachan-learning17.htm
HWK1: Implementation of Low Rank Matrix Completion - Netflix Challenge + Face Completion (Othmane Sayem and Pirashanth Ratnamogan)
HWK2: Implementation of K-subspaces, Sparse subspace clustering and Spectral Clustering - Face Clustering and Motion Segmentation Challenge (Othmane Sayem, Vincent Matthys and Pirashanth Ratnamogan)