Machine Learning in Computer Vision

Machine Learning in Computer Vision by Nicu Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang.

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Bibliographic Details
Main Authors: Sebe, Nicu (Author), Cohen, Ira (Author), Garg, Ashutosh (Author), Huang, Thomas S. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Series:Computational Imaging and Vision, 29
Springer eBook Collection.
Subjects:
Optical data processing.
User interfaces (Computer systems).
Multimedia information systems.
Mathematical statistics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

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