Enhanced Tensor RPCA and Its Application.
IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)
摘要
Despite the promising results, tensor robust principal component analysis (TRPCA), which aims to recover underlying low-rank structure of clean tensor data corrupted with noise/outliers by shrinking all singular values equally, cannot well preserve the salient content of image. The major reason is that, in real applications, there is a salient difference information between all singular values of ...
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关键词
Tensors,Minimization,Image color analysis,Principal component analysis,Periodic structures,Sparse matrices,Linear programming
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