[PDF.54ru] Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)

Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)

[PDF.ef78] Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)

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 | #3652057 in Books |  Cheng Hong |  2015-05-25 | Original language:English | PDF # 1 |  9.25 x.63 x6.10l,.0 | File type: PDF | 257 pages

 | Sparse Representation Modeling and Learning in Visual Recognition Theory Algorithms and Applications Advances in Computer Vision and Pattern Recognition

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||0 of 0 people found the following review helpful.| Two Stars|By Customer|no color image not original|From the Back Cover||This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition...

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