Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in
57,84 €
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.
Jetzt bei Ebay:
