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Sparse Representation, Modeling and Learning in Visual Recognition
Hong Cheng
€ 127.28
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Description for Sparse Representation, Modeling and Learning in Visual Recognition
Paperback. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 271 pages, 73 black & white illustrations, 26 black & white tables, biography. BIC Classification: UYQ; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 421.
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; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining ... Read more
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; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer London Ltd United Kingdom
Number of pages
271
Condition
New
Series
Advances in Computer Vision and Pattern Recognition
Number of Pages
257
Place of Publication
England, United Kingdom
ISBN
9781447172512
SKU
V9781447172512
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Hong Cheng
Dr. Hong Cheng is Professor in the School of Automation Engineering, and Deputy Executive Director of the Center for Robotics at the University of Electronic Science and Technology of China. His other publications include the Springer book Autonomous Intelligent Vehicles.
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