'Multiple kernel learning' diaporamas de présentation

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A Bayesian Approach to Localized Multi-Kernel Learning Using the Relevance Vector Machine

A Bayesian Approach to Localized Multi-Kernel Learning Using the Relevance Vector Machine. R. Close, J. Wilson, P. Gader. Outline. Benefits of kernel methods Multi-kernels and localized multi-kernels Relevance Vector Machines (RVM) Localized multi-kernel RVM (LMK-RVM)

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AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach

AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach. Ziming Zhang*, Ze-Nian Li, Mark Drew School of Computing Science Simon Fraser University Vancouver, Canada {zza27, li , mark}@ cs.sfu.ca. Outline. Introduction Adaptive Multiple Kernel Learning Experiments Conclusion.

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Classifying Covert Photographs

Classifying Covert Photographs. CVPR 2012 POSTER. Outline. Introduction Combine Image Features and Attributes Experiment Conclusion. Introduction. Why doing this classification ? Image/video acquisition devices New Internet technologies What is covert? Secret photography.

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