Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
Author:   Hong Cheng
Publisher:   Springer London Ltd
Edition:   2015 ed.
ISBN:  

9781447167136


Pages:   257
Publication Date:   09 June 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications


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Author:   Hong Cheng
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2015 ed.
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   5.325kg
ISBN:  

9781447167136


ISBN 10:   1447167139
Pages:   257
Publication Date:   09 June 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Introduction and Fundamentals.- Introduction.- The Fundamentals of Compressed Sensing.- Part II: Sparse Representation, Modeling and Learning.- Sparse Recovery Approaches.- Robust Sparse Representation, Modeling and Learning.- Efficient Sparse Representation and Modeling.- Part III: Visual Recognition Applications.- Feature Representation and Learning.- Sparsity Induced Similarity.- Sparse Representation and Learning Based Classifiers.- Part IV: Advanced Topics.- Beyond Sparsity.- Appendix A: Mathematics.- Appendix B: Computer Programming Resources for Sparse Recovery Approaches.- Appendix C: The source Code of Sparsity Induced Similarity.- Appendix D: Derivations.

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Author Information

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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