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    CVPR
    2007
    IEEE
    205views Computer Vision» more  CVPR 2007»
    Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
    14 years 6 months ago
    Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
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    We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
    Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau,...
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