€89.99
Table of Content
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.
Language English ● Format PDF ● Pages 242 ● ISBN 9781402032752 ● File size 5.3 MB ● Publisher Springer Netherland ● City Dordrecht ● Country NL ● Published 2005 ● Downloadable 24 months ● Currency EUR ● ID 2147118 ● Copy protection Social DRM
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