Multi-view low-rank sparse subspace clustering (2017-08-29T00:00:00.000000Z)

TL;DR

An approach to multi-view subspace clustering that learns a joint subspace representation by constructing affinity matrix shared among all views is presented, relying on the importance of both low-rank and sparsity constraints in the construction of the affinity matrix.

Authors

Maria Brbic

2 papers

I. Kopriva

1 papers

TL;DR

Authors

References58 items

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