2015
Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering
CVPR 2015poster
Recently, there have been many proposals with state-of-the-art results in subspace clustering that take advantages of the low-rank or sparse optimization techniques. These methods are based on self-expressive models, which have well-defined theoretical aspects. They produce matrices with (approximat…