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    2011
    IEEE
    385views Computer Vision» more  CVPR 2011»
    On Deep Generative Models with Applications to Recognition
    13 years 11 months ago
    On Deep Generative Models with Applications to Recognition
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    The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
    Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
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