Robust Kernelized Multiview Self-Representation for Subspace Clustering
IEEE transactions on neural networks and learning systems, pp. 1-14, 2020.
In this article, we propose a multiview self-representation model for nonlinear subspaces clustering. By assuming that the heterogeneous features lie within the union of multiple linear subspaces, the recent multiview subspace learning methods aim to capture the complementary and consensus from multiple views to boost the performance. How...More
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