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    NIPS
    2008
    183views Information Technology» more  NIPS 2008»
    Hebbian Learning of Bayes Optimal Decisions
    13 years 11 months ago
    Hebbian Learning of Bayes Optimal Decisions
    Download  www.igi.tugraz.at
    Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
    Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
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    NIPS
    2008
    261views Information Technology» more  NIPS 2008»
    Learning a discriminative hidden part model for human action recognition
    13 years 11 months ago
    Learning a discriminative hidden part model for human action recognition
    Download  netfiles.uiuc.edu
    We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
    Yang Wang 0003, Greg Mori
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    NIPS
    2008
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    Support Vector Machines with a Reject Option
    13 years 11 months ago
    Support Vector Machines with a Reject Option
    Download  eprints.pascal-network.org
    We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
    Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
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    NIPS
    2008
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    DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
    13 years 11 months ago
    DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
    Download  www.cs.berkeley.edu
    Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
    Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
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    NIPS
    2008
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    Reducing statistical dependencies in natural signals using radial Gaussianization
    13 years 11 months ago
    Reducing statistical dependencies in natural signals using radial Gaussianization
    Download  www.cns.nyu.edu
    We consider the problem of transforming a signal to a representation in which the components are statistically independent. When the signal is generated as a linear transformation...
    Siwei Lyu, Eero P. Simoncelli
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