We present a linear-time subspace clustering approach that combines sparse representations and bipartite graph modeling. The signals are modeled as drawn from a union of low-dimensional subspaces, and ...

This paper investigates the latticized linear programming that is subject to the fuzzy-relation inequality (FRI) constraints with the max-min composition by using the semi-tensor product method, and ...

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