Machine Learning for Multimedia Content Analysis

Part I.Unsupervised Learning

1. Introduction
2. Dimension Reduction
3. Data Clustering Techniques
Part II.Generative Graphical Models

4. Introduction of Graphical Models
5. Markov Chains and Monte Carlo Simulation
6. Markov Random Fields and Gibbs Sampling
7. Hidden Markov Models
8. Inference and Learning for General Graphical Models
Part III.Discriminative Graphical Models

9. Maximum Entropy Model and Conditional Random Field
10. Max-Margin Classifications

DRM-restrictions

Printing: not available
Clipboard copying: not available

Avainsanat: COMPUTERS / Computer Science COM014000