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    NIPS
    2003
    144views Information Technology» more  NIPS 2003»
    Margin Maximizing Loss Functions
    14 years 28 days ago
    Margin Maximizing Loss Functions
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    Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
    Saharon Rosset, Ji Zhu, Trevor Hastie
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    NIPS
    2003
    139views Information Technology» more  NIPS 2003»
    Bayesian Color Constancy with Non-Gaussian Models
    14 years 28 days ago
    Bayesian Color Constancy with Non-Gaussian Models
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    We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
    Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
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    NIPS
    2003
    169views Information Technology» more  NIPS 2003»
    A Classification-based Cocktail-party Processor
    14 years 28 days ago
    A Classification-based Cocktail-party Processor
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    At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
    Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
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    NIPS
    2003
    110views Information Technology» more  NIPS 2003»
    Reconstructing MEG Sources with Unknown Correlations
    14 years 28 days ago
    Reconstructing MEG Sources with Unknown Correlations
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    Existing source location and recovery algorithms used in magnetoencephalographic imaging generally assume that the source activity at different brain locations is independent or t...
    Maneesh Sahani, Srikantan S. Nagarajan
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    NIPS
    2003
    142views Information Technology» more  NIPS 2003»
    A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
    14 years 28 days ago
    A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
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    Significant plasticity in sensory cortical representations can be driven in mature animals either by behavioural tasks that pair sensory stimuli with reinforcement, or by electro...
    Maneesh Sahani
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    NIPS
    2003
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    Training a Quantum Neural Network
    14 years 28 days ago
    Training a Quantum Neural Network
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    Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
    Bob Ricks, Dan Ventura
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    NIPS
    2003
    163views Information Technology» more  NIPS 2003»
    Sensory Modality Segregation
    14 years 28 days ago
    Sensory Modality Segregation
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    Why are sensory modalities segregated the way they are? In this paper we show that sensory modalities are well designed for self-supervised cross-modal learning. Using the Minimiz...
    Virginia R. de Sa
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    NIPS
    2003
    90views Information Technology» more  NIPS 2003»
    Discriminating Deformable Shape Classes
    14 years 28 days ago
    Discriminating Deformable Shape Classes
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    Salvador Ruiz-Correa, Linda G. Shapiro, Marina Mei...
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    NIPS
    2003
    105views Information Technology» more  NIPS 2003»
    Gaussian Processes in Reinforcement Learning
    14 years 28 days ago
    Gaussian Processes in Reinforcement Learning
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    We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
    Carl Edward Rasmussen, Malte Kuss
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    NIPS
    2003
    179views Information Technology» more  NIPS 2003»
    Automatic Annotation of Everyday Movements
    14 years 28 days ago
    Automatic Annotation of Everyday Movements
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    This paper describes a system that can annotate a video sequence with: a description of the appearance of each actor; when the actor is in view; and a representation of the actor...
    Deva Ramanan, David A. Forsyth
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