[PDF.58vm] Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing

[PDF.st73] Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing

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 | #2093991 in Books |  2016-05-27 | Original language:English | PDF # 1 |  10.10 x1.40 x7.00l,.0 | File type: PDF | 536 pages

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||About the Author||Thierry Bouwmans is an associate professor at the University of La Rochelle. He is the author of more than 30 papers on background modeling and foreground detection and is the creator and administrator of the Background Subtrac

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniq...

You can specify the type of files you want, for your device.Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing   |  From Chapman and Hall/CRC. Just read it with an open mind because none of us really know.

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