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    DSP
    2007
    170views Emerging Technology» more  DSP 2007»
    Blind separation of nonlinear mixtures by variational Bayesian learning
    13 years 7 months ago
    Blind separation of nonlinear mixtures by variational Bayesian learning
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    Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
    Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
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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 8 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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    ESANN
    2007
    106views Neural Networks» more  ESANN 2007»
    Order in Complex Systems of Nonlinear Oscillators: Phase Locked Subspaces
    13 years 9 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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    ISQED
    2000
    IEEE
    117views Hardware» more  ISQED 2000»
    Realistic Worst-Case Modeling by Performance Level Principal Component Analysis
    13 years 12 months ago
    Realistic Worst-Case Modeling by Performance Level Principal Component Analysis
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    A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...
    Alessandra Nardi, Andrea Neviani, Carlo Guardiani
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 8 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
    Download  books.nips.cc
    We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
    Su-In Lee, Serafim Batzoglou
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