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    NIPS
    2003
    179views Information Technology» more  NIPS 2003»
    Computing Gaussian Mixture Models with EM Using Equivalence Constraints
    13 years 6 months ago
    Computing Gaussian Mixture Models with EM Using Equivalence Constraints
    Download  books.nips.cc
    Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
    Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
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    ICML
    2008
    IEEE
    195views Machine Learning» more  ICML 2008»
    Estimating local optimums in EM algorithm over Gaussian mixture model
    14 years 6 months ago
    Estimating local optimums in EM algorithm over Gaussian mixture model
    Download  www.comp.nus.edu.sg
    EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
    Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
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    ICIP
    2009
    IEEE
    135views Image Processing» more  ICIP 2009»
    Random swap EM algorithm for finite mixture models in image segmentation
    13 years 3 months ago
    Random swap EM algorithm for finite mixture models in image segmentation
    Download  cs.joensuu.fi
    The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
    Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
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    ICIP
    2010
    IEEE
    172views Image Processing» more  ICIP 2010»
    Gaussian mixture models for spots in microscopy using a new split/merge em algorithm
    13 years 3 months ago
    Gaussian mixture models for spots in microscopy using a new split/merge em algorithm
    Download  www.mee.tcd.ie
    In confocal microscopy imaging, target objects are labeled with fluorescent markers in the living specimen, and usually appear as spots in the observed images. Spot detection and ...
    Kangyu Pan, Anil C. Kokaram, Jens Hillebrand, Mani...
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    NIPS
    1998
    117views Information Technology» more  NIPS 1998»
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    13 years 6 months ago
    Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
    Download  www.gatsby.ucl.ac.uk
    We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
    Thomas Briegel, Volker Tresp
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