Structured Sparse Subspace Clustering : A Joint Affinity Learning and Subspace Clustering Framework
Subspace clustering refers to the problem of segmenting data drawn from a union of subspaces. State-of-the-art approaches for solving this problem follow a two-stage approach. In the first step, an affinity matrix is learned from the data using sparse or low-rank minimization techniques. In the seco...
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 6 vom: 13. Juni, Seite 2988-3001 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2017
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Schlagworte: | Journal Article |
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