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videolectures.net
Multimodal Learning with Deep Boltzmann Machines
We propose a Deep Boltzmann Machine for learning agenerative model of multimodal data. We show how to use themodel to extract a meaningful representation of multimodaldata. We find that the learned representation is useful forclassification and information retreival tasks, and henceconforms to some notion of semantic similarity. The ...
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Jan 16, 2013
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