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    NIPS
    2003
    137views Information Technology» more  NIPS 2003»
    Online Passive-Aggressive Algorithms
    15 years 1 months ago
    Online Passive-Aggressive Algorithms
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    We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
    Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
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    NIPS
    2003
    141views Information Technology» more  NIPS 2003»
    Salient Boundary Detection using Ratio Contour
    15 years 1 months ago
    Salient Boundary Detection using Ratio Contour
    Download  books.nips.cc
    This paper presents a novel graph-theoretic approach, named ratio contour, to extract perceptually salient boundaries from a set of noisy boundary fragments detected in real image...
    Song Wang, Toshiro Kubota, Jeffrey Mark Siskind
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    NIPS
    2003
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    When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
    15 years 1 months ago
    When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
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    We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the posi...
    David L. Donoho, Victoria Stodden
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    NIPS
    2003
    168views Information Technology» more  NIPS 2003»
    A Sampled Texture Prior for Image Super-Resolution
    15 years 1 months ago
    A Sampled Texture Prior for Image Super-Resolution
    Download  books.nips.cc
    Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
    Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
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    NIPS
    2003
    144views Information Technology» more  NIPS 2003»
    Warped Gaussian Processes
    15 years 1 months ago
    Warped Gaussian Processes
    Download  books.nips.cc
    We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
    Edward Snelson, Carl Edward Rasmussen, Zoubin Ghah...
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