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    ICPR
    2010
    IEEE
    214views Computer Vision» more  ICPR 2010»
    Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
    14 years 3 months ago
    Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
    Download  www.mathematik.uni-marburg.de
    The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
    Thilo Stadelmann, Bernd Freisleben
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    ESANN
    2003
    92views Neural Networks» more  ESANN 2003»
    On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
    13 years 9 months ago
    On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
    Download  www.dice.ucl.ac.be
    Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
    Cédric Archambeau, John Aldo Lee, Michel Ve...
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    BMCBI
    2010
    140views more  BMCBI 2010»
    Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
    13 years 8 months ago
    Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
    Download  www.biomedcentral.com
    Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
    Tianwei Yu, Hesen Peng
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    ISCAS
    2007
    IEEE
    241views Hardware» more  ISCAS 2007»
    Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
    14 years 2 months ago
    Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
    Download  www-ee.uta.edu
    — In this paper, a modified version of the complex directional pyramid (PDTDFB) is proposed. Unlike the previous approach, the new FB provides an approximately tight-frame decom...
    An P. N. Vo, Truong T. Nguyen, Soontorn Oraintara
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    ECML
    2005
    Springer
    154views Machine Learning» more  ECML 2005»
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
    14 years 2 months ago
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
    Download  eprints.pascal-network.org
    Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
    JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
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