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    JMLR
    2010
    129views more  JMLR 2010»
    Expectation Truncation and the Benefits of Preselection In Training Generative Models
    13 years 3 months ago
    Expectation Truncation and the Benefits of Preselection In Training Generative Models
    Download  jmlr.csail.mit.edu
    We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
    Jörg Lücke, Julian Eggert
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    ESANN
    2007
    106views Neural Networks» more  ESANN 2007»
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    13 years 10 months ago
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    Download  www.dice.ucl.ac.be
    Any order parameter quantifying the degree of organisation in a physical system can be studied in connection to source extraction algorithms. Independent component analysis (ICA) b...
    Jan-Hendrik Schleimer, Ricardo Vigário
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    ROBOCUP
    2004
    Springer
    138views Robotics» more  ROBOCUP 2004»
    An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
    14 years 2 months ago
    An Algorithm That Recognizes and Reproduces Distinct Types of Humanoid Motion Based on Periodically-Constrained Nonlinear PCA
    Download  www.er.ams.eng.osaka-u.ac.jp
    Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
    Rawichote Chalodhorn, Karl F. MacDorman, Minoru As...
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    ICASSP
    2008
    IEEE
    163views Signal Processing» more  ICASSP 2008»
    On quantifying the effects of noncircularity on the complex fastica algorithm
    14 years 3 months ago
    On quantifying the effects of noncircularity on the complex fastica algorithm
    Download  www.csee.umbc.edu
    The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problem with complex-valued data. In this study, we ex...
    Mike Novey, Tülay Adali
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    DAC
    2005
    ACM
    161views Computer Architecture» more  DAC 2005»
    A non-parametric approach for dynamic range estimation of nonlinear systems
    14 years 10 months ago
    A non-parametric approach for dynamic range estimation of nonlinear systems
    Download  www.eecg.toronto.edu
    It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
    Bin Wu, Jianwen Zhu, Farid N. Najm
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