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    » Estimating a Mixture of Two Product Distributions
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    ICASSP
    2009
    IEEE
    260views Signal Processing» more  ICASSP 2009»
    Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
    13 years 5 months ago
    Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
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    In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
    Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
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    AAAI
    2010
    177views Intelligent Agents» more  AAAI 2010»
    Gaussian Mixture Model with Local Consistency
    13 years 9 months ago
    Gaussian Mixture Model with Local Consistency
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    Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
    Jialu Liu, Deng Cai, Xiaofei He
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    CSDA
    2010
    165views more  CSDA 2010»
    A two-component Weibull mixture to model early and late mortality in a Bayesian framework
    13 years 7 months ago
    A two-component Weibull mixture to model early and late mortality in a Bayesian framework
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    A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
    Alessio Farcomeni, Alessandra Nardi
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    ICIP
    2009
    IEEE
    253views Image Processing» more  ICIP 2009»
    Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
    14 years 8 months ago
    Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
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    We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...
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    NIPS
    2007
    161views Information Technology» more  NIPS 2007»
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
    13 years 8 months ago
    Density Estimation under Independent Similarly Distributed Sampling Assumptions
    Download  books.nips.cc
    A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
    Tony Jebara, Yingbo Song, Kapil Thadani
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