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    ICCV
    2003
    IEEE
    131views Computer Vision» more  ICCV 2003»
    Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
    15 years 1 months ago
    Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
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    The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
    Lior Wolf, Amnon Shashua
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