Background subtraction with multi-scale structured low-rank and sparse factorization
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DOI: 10.1016/j.neucom.2018.02.101
Abstract: Abstract Low-rank and sparse factorization, which models the background as a low-rank matrix and the foreground as the contiguously corrupted outliers, exhibits excellent performance in background subtraction, in which the structured constraints of the foreground… read more here.
Keywords: low rank; sparse factorization; rank sparse; rank ... See more keywords
Algorithmic Advancements and a Comparative Investigation of Left and Right Looking Sparse LU Factorization on GPU Platform for Circuit Simulation
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DOI: 10.1109/access.2022.3193785
Abstract: Sparse LU factorization is a key tool in the solution of large linear set of algebraic equations encompassing a wide range of computing applications. Recent advances in this field exploit the massively parallel architecture of… read more here.
Keywords: sparse factorization; lla; gpu platform; gpu ... See more keywords