Kernelized Low Rank Representation on Grassmann Manifolds

8 Apr 2015 Boyue Wang Yongli Hu Junbin Gao Yanfeng Sun Bao-Cai Yin

Low rank representation (LRR) has recently attracted great interest due to its pleasing efficacy in exploring low-dimensional subspace structures embedded in data. One of its successful applications is subspace clustering which means data are clustered according to the subspaces they belong to... (read more)

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