Sparse representation, modeling and learning in visual recognition : theory, algorithms and applications / Hong Cheng.
Tipo de material:
TextoSeries Advances in Computer Vision and Pattern RecognitionEditor: London : Springer London : Springer, 2015Descripción: xiv, 257 páginas : 73 ilustracionesTipo de contenido: - texto
- computadora
- recurso en línea
- 9781447167143
- Q337.5
Springer eBooks
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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