Machine Learning in Computer Vision

• Main Authors: Sebe, N. (Author), Cohen, Ira (Author), Garg, Ashutosh (Author), Huang, Thomas S. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Dordrecht : Springer Netherlands, 2005.
• Series: Computational Imaging and Vision, 29
• Subjects: Computer science.; Mathematical statistics.; Multimedia information systems.; User interfaces (Computer systems).; Computer graphics.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; User Interfaces and Human Computer Interaction.; Multimedia Information Systems.; Probability and Statistics in Computer Science.

Table of Contents:

• Theory: Probabilistic Classifiers
• Theory: Generalization Bounds
• Theory: Semi-Supervised Learning
• Algorithm: Maximum Likelihood Minimum Entropy HMM
• Algorithm: Margin Distribution Optimization
• Algorithm: Learning the Structure of Bayesian Network Classifiers
• Application: Office Activity Recognition
• Application: Multimodal Event Detection
• Application: Facial Expression Recognition
• Application: Bayesian Network Classifiers for Face Detection.