Machine Learning in Computer Vision

• Κύριοι συγγραφείς: Sebe, N. (Συγγραφέας), Cohen, Ira (Συγγραφέας), Garg, Ashutosh (Συγγραφέας), Huang, Thomas S. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands, 2005.
• Σειρά: Computational Imaging and Vision, 29
• Θέματα: 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.

Πίνακας περιεχομένων:

• 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.