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|a Machine Learning in Computer Vision
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|a 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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