Machine Learning for Multimedia Content Analysis (Hardcover)

Preface.- Introduction.- Unsupervised Learning.- Dimension Reduction.- Data Clustering Techniques.- Generative Graphical Models.- Introduction of Graphical Models.- Markov Chains and Monte Carlo Simulation.- Markov Random Fields and Gibbs Sampling.- Hidden Markov Models.- Inference and Learning for General Graphical Models.- Discriminative Graphical Models.- Maximum Entropy Model and Conditional Random Field.- Max-Margin Classifications.- A. Appendix.- References.- Index.