Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Workshop on Pattern Recognition and Machine Learning in Computer Vision, Grenoble 2004

Object categorization with SVM: kernels for local features

author: Jan Eichhorn, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Feb. 25, 2007,   recorded: May 2004,   views: 4653
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Description

We will focus on object categorization. The basic idea is to combine the nice invariance propreties of local features with the robustness of SVM's and the ability to control generalization in this framework.

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