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    ESANN
    2008
    133views Neural Networks» more  ESANN 2008»
    Linear Projection based on Noise Variance Estimation - Application to Spectral Data
    13 years 11 months ago
    Linear Projection based on Noise Variance Estimation - Application to Spectral Data
    Download  www.dice.ucl.ac.be
    In this paper, we propose a new methodology to build latent variables that are optimal if a nonlinear model is used afterward. This method is based on Nonparametric Noise Estimatio...
    Amaury Lendasse, Francesco Corona
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    ECCV
    2010
    Springer
    259views Computer Vision» more  ECCV 2010»
    Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
    14 years 3 months ago
    Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding
    Download  www.stanford.edu
    We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
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    BMCBI
    2007
    127views more  BMCBI 2007»
    A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
    13 years 10 months ago
    A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
    Download  www.biomedcentral.com
    Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
    Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
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    NIPS
    2007
    147views Information Technology» more  NIPS 2007»
    Convex Relaxations of Latent Variable Training
    13 years 11 months ago
    Convex Relaxations of Latent Variable Training
    Download  books.nips.cc
    We investigate a new, convex relaxation of an expectation-maximization (EM) variant that approximates a standard objective while eliminating local minima. First, a cautionary resu...
    Yuhong Guo, Dale Schuurmans
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    13 years 1 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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