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Title:
Sparse Representation, Modeling and Learning in Visual Recognition Theory, Algorithms and Applications
Author:
Cheng, Hong. author.
ISBN:
9781447167143
Edition:
1st ed. 2015.
Physical Description:
XIV, 257 p. 73 illus. online resource.
Series:
Advances in Computer Vision and Pattern Recognition,
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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