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    ICA
    2004
    Springer
    116views Signal Processing» more  ICA 2004»
    A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images
    13 years 10 months ago
    A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images
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    Hyun-Jin Park, Te-Won Lee
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    ICA
    2004
    Springer
    121views Signal Processing» more  ICA 2004»
    On Shift-Invariant Sparse Coding
    13 years 10 months ago
    On Shift-Invariant Sparse Coding
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    Thomas Blumensath, Mike E. Davies
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    ICA
    2004
    Springer
    95views Signal Processing» more  ICA 2004»
    Robust ICA for Super-Gaussian Sources
    13 years 10 months ago
    Robust ICA for Super-Gaussian Sources
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    Abstract. Most ICA algorithms are sensitive to outliers. Instead of robustifying existing algorithms by outlier rejection techniques, we show how a simple outlier index can be used...
    Frank C. Meinecke, Stefan Harmeling, Klaus-Robert ...
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    ICA
    2004
    Springer
    105views Signal Processing» more  ICA 2004»
    Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals
    13 years 10 months ago
    Denoising Using Local ICA and a Generalized Eigendecomposition with Time-Delayed Signals
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    Peter Gruber, Kurt Stadlthanner, Ana Maria Tom&eac...
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    ICA
    2004
    Springer
    130views Signal Processing» more  ICA 2004»
    Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
    13 years 10 months ago
    Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
    Download  www.cis.hut.fi
    Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
    Alexander Ilin, Antti Honkela
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