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    NIPS
    1998
    80views Information Technology» more  NIPS 1998»
    Efficient Bayesian Parameter Estimation in Large Discrete Domains
    13 years 11 months ago
    Efficient Bayesian Parameter Estimation in Large Discrete Domains
    Download  www.cs.huji.ac.il
    In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
    Nir Friedman, Yoram Singer
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    NIPS
    1998
    85views Information Technology» more  NIPS 1998»
    Global Optimisation of Neural Network Models via Sequential Sampling
    13 years 11 months ago
    Global Optimisation of Neural Network Models via Sequential Sampling
    Download  mi.eng.cam.ac.uk
    We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
    João F. G. de Freitas, Mahesan Niranjan, Ar...
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    NIPS
    1998
    129views Information Technology» more  NIPS 1998»
    Learning to Estimate Scenes from Images
    13 years 11 months ago
    Learning to Estimate Scenes from Images
    Download  www.merl.com
    We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
    William T. Freeman, Egon C. Pasztor
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    NIPS
    1998
    77views Information Technology» more  NIPS 1998»
    Optimizing Correlation Algorithms for Hardware-Based Transient Classification
    13 years 11 months ago
    Optimizing Correlation Algorithms for Hardware-Based Transient Classification
    Download  www.isn.ucsd.edu
    R. Timothy Edwards, Gert Cauwenberghs, Fernando J....
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    NIPS
    1998
    105views Information Technology» more  NIPS 1998»
    Divisive Normalization, Line Attractor Networks and Ideal Observers
    13 years 11 months ago
    Divisive Normalization, Line Attractor Networks and Ideal Observers
    Download  www.gatsby.ucl.ac.uk
    Gain control by divisive inhibition, a.k.a. divisive normalization, has been proposed to be a general mechanism throughout the visual cortex. We explore in this study the statisti...
    Sophie Deneve, Alexandre Pouget, Peter E. Latham
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    NIPS
    1998
    107views Information Technology» more  NIPS 1998»
    Example-Based Image Synthesis of Articulated Figures
    13 years 11 months ago
    Example-Based Image Synthesis of Articulated Figures
    Download  www.eecs.berkeley.edu
    We present a method for learning complex appearance mappings, such as occur with images of articulated objects. Traditional interpolation networks fail on this case since appearan...
    Trevor Darrell
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    NIPS
    1998
    184views Information Technology» more  NIPS 1998»
    Facial Memory Is Kernel Density Estimation (Almost)
    13 years 11 months ago
    Facial Memory Is Kernel Density Estimation (Almost)
    Download  www.cs.ait.ac.th
    We compare the ability of three exemplar-based memory models, each using three different face stimulus representations, to account for the probability a human subject responded &q...
    Matthew N. Dailey, Garrison W. Cottrell, Thomas A....
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    NIPS
    1998
    138views Information Technology» more  NIPS 1998»
    Dynamically Adapting Kernels in Support Vector Machines
    13 years 11 months ago
    Dynamically Adapting Kernels in Support Vector Machines
    Download  www.support-vector.net
    The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
    Nello Cristianini, Colin Campbell, John Shawe-Tayl...
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    NIPS
    1998
    67views Information Technology» more  NIPS 1998»
    A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations
    13 years 11 months ago
    A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations
    Download  www.stat.ucla.edu
    There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
    James M. Coughlan, Alan L. Yuille
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    NIPS
    1998
    117views Information Technology» more  NIPS 1998»
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    13 years 11 months ago
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    Download  www.gatsby.ucl.ac.uk
    We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
    Thomas Briegel, Volker Tresp
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