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We develop a novel approach for supervised learning based on adaptively partitioning the feature space into different regions and learning local region-specific classifiers. We for...
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Sum-product networks are a new deep architecture that can perform fast, exact inference
on high-treewidth models. Only generative methods for training SPNs
have been proposed to ...
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Born in PuTian+ PhD candidate, Visual Information Processing and Learning (VIPL) group, Insititue of Computing Technology (ICT), Chinese Academy of Sciences (CAS).