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Nicu Sebe & Ira Cohen
Machine Learning in Computer Vision

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Sampul Nicu Sebe & Ira Cohen: Machine Learning in Computer Vision (PDF)

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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.

Bahasa Inggris ● Format PDF ● Halaman 242 ● ISBN 9781402032752 ● Ukuran file 5.3 MB ● Penerbit Springer Netherland ● Kota Dordrecht ● Negara NL ● Diterbitkan 2005 ● Diunduh 24 bulan ● Mata uang EUR ● ID 2147118 ● Perlindungan salinan DRM sosial

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Nicu Sebe Ira Cohen Ashutosh Garg Thomas S. Huang

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