Sparse Representation, Modeling and Learning in Visual Recognition
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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.
