Image Projection Ridge Regression for Subspace Clustering
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DOI: 10.1109/lsp.2017.2700852
Abstract: Subspace clustering methods have been widely studied recently. When the inputs are two-dimensional (2-D) data, existing subspace clustering methods usually convert them into vectors, which severely damages inherent structures and relationships from original data. In… read more here.
Keywords: projection ridge; subspace; subspace clustering; image projection ... See more keywords