Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering
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DOI: 10.1109/tcyb.2017.2729542
Abstract: This paper develops a novel iterative framework for subspace clustering (SC) in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse SC and discriminative transformation learning. In the first module,… read more here.
Keywords: fuzzy sparse; transformation learning; subspace clustering; subspace ... See more keywords