Weighted Low-Rank Approximation of Matrices and Background Modeling

15 Apr 2018 Aritra Dutta Xin Li Peter Richtarik

We primarily study a special a weighted low-rank approximation of matrices and then apply it to solve the background modeling problem. We propose two algorithms for this purpose: one operates in the batch mode on the entire data and the other one operates in the batch-incremental mode on the data and naturally captures more background variations and computationally more effective... (read more)

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