Inhoudsopgave
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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Taal Engels ● Formaat PDF ● Pagina’s 242 ● ISBN 9781402032752 ● Bestandsgrootte 5.3 MB ● Uitgeverij Springer Netherland ● Stad Dordrecht ● Land NL ● Gepubliceerd 2005 ● Downloadbare 24 maanden ● Valuta EUR ● ID 2147118 ● Kopieerbeveiliging Sociale DRM