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

Hong Cheng




[PDF.vj52] Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)

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 | #1090076 in Books |  2015-05-25 | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,.0 | File type: PDF | 257 pages

||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...

You easily download any file type for your device.Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)   |  Hong Cheng.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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