Sparse Subspace Clustering via Group Sparse Coding
We propose in this paper a novel sparse subspace clustering method that regularizes sparse subspace representation by exploiting the structural sharing between tasks and data points via group sparse coding. We derive simple, provably convergent, and computationally efificient algorithms for solving...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
SIAM
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/16995 |