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Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in
- Item No : 167578534665
- Condition : Brand New
- Brand : No brand Info
- Seller : loveourprices2
- Current Bid : US $57.94
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* Item Description
- Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The final part presents resources and applications in background/foreground separation for video surveillance.
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