Introduction -- Part I: From perception to computation -- Audio acquisition, representation and storage -- Image and video acquisition, representation and storage -- Part II: Machine learning -- Machine Learning -- Bayesian theory of decision -- Clustering methods -- Foundations of statistical learning and model selection -- Supervised neural networks and ensemble methods -- Kernel methods -- Markovian models for sequential data -- Feature extraction methods and manifold learning methods -- Part III: Applications -- Speech and handwriting recognition -- Automatic face recognition -- Video segmentation and keyframe extraction -- Real-time hand pose recognition -- Automatic personality perception -- Part IV: Appendices -- Appendix A: Statistics -- Appendix B: Signal processing -- Appendix C: Matrix algebra __ Appendix D: Mathematical foundations of kernel methods -- Index.
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