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Probability and statistics / Statistical mechanics / Tsallis statistics / Fisher kernel / Tsallis entropy / Support vector machine / Rice distribution / Embedding / Jensen / Statistics / Mathematics / Statistical classification


GENERATIVE EMBEDDINGS BASED ON RICIAN MIXTURES: APPLICATION TO KERNEL-BASED DISCRIMINATIVE CLASSIFICATION OF MAGNETIC RESONANCE IMAGES Anna C. Carli1 , M´ario A. T. Figueiredo2 , Manuele Bicego1,3 and Vittorio Murino1,3
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Document Date: 2013-03-19 09:37:42

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Kyoto / Dover / Dissimilarity / Lisboa / TO KERNEL / Verona / Newport / Genova / /

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Smith N. A. / EZ Lc / Neural Information Processing Systems / Cambridge University Press / MIT Press / /

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Jordan / Italy / Portugal / /

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online learning / free-energy terms / explicit solution / learning algorithm / /

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Newport Beach / Shannon / /

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Cambridge University / Instituto Superior T´ecnico / MIT / Instituto Keywords / Pattern Analysis and Machine Intelligence / /

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Shannon Jensen-Tsallis Weighted / Shannon Jensen−Tsallis / Shannon Jensen / Tq / /

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Prime Minister / Bishop / Fisher / /

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Adaboost / /

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T / /

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Nova Scotia / New York / /

PublishedMedium

Journal of Machine Learning Research / /

Technology

SVM learning algorithm / boosting algorithm / http / Data Mining / Machine Learning / 2 2.1 RICIAN MIXTURE FITTING VIA THE EM ALGORITHM The EM Algorithm / EM algorithm / AdaBoost algorithm / MRI / /

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