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    JMLR
    2012
    180views Programming Languages» more  JMLR 2012»
    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
    12 years 4 days ago
    On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
    Download  www.cs.ubc.ca
    This paper studies issues relating to the parameterization of probability distributions over binary data sets. Several such parameterizations of models for binary data are known, ...
    David Buchman, Mark W. Schmidt, Shakir Mohamed, Da...
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    ICML
    2006
    IEEE
    194views Machine Learning» more  ICML 2006»
    Convex optimization techniques for fitting sparse Gaussian graphical models
    14 years 10 months ago
    Convex optimization techniques for fitting sparse Gaussian graphical models
    Download  www.eecs.berkeley.edu
    We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
    Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
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    NC
    2006
    132views Neural Networks» more  NC 2006»
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    13 years 9 months ago
    Learning short multivariate time series models through evolutionary and sparse matrix computation
    Download  bura.brunel.ac.uk
    Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
    Stephen Swift, Joost N. Kok, Xiaohui Liu
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    TMI
    2010
    164views more  TMI 2010»
    Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
    13 years 4 months ago
    Robust Reconstruction of MRSI Data Using a Sparse Spectral Model and High Resolution MRI Priors
    Download  cbig.rochester.edu
    We introduce a novel algorithm to address the challenges in magnetic resonance (MR) spectroscopic imaging. In contrast to classical sequential data processing schemes, the proposed...
    Ramin Eslami, Mathews Jacob
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    SCALESPACE
    2007
    Springer
    247views Computer Vision» more  SCALESPACE 2007»
    Non-negative Sparse Modeling of Textures
    14 years 3 months ago
    Non-negative Sparse Modeling of Textures
    Download  www.ceremade.dauphine.fr
    This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
    Gabriel Peyré
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