Abstract: 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 ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 98, No. 20 (Sep. 25, 2001), pp. 11265-11270 (6 pages) The power of two-dimensional (2D) IR spectroscopy as a ...
The nuclear norm matrix regression method is effective for continuous occlusion in face recognition. However, the existing method only considers low-rank structural information and ignores correlation ...
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