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» Continuous Gaussian Mixture Modeling

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IJAR
2006

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Inference in hybrid Bayesian networks with mixtures of truncated exponentials

13 years 9 months ago

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Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...

Barry R. Cobb, Prakash P. Shenoy

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ICPR
2010
IEEE

150views Computer Vision» more ICPR 2010»

Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification

13 years 7 months ago

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The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...

Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...

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ICPR
2006
IEEE

194views computer vision» more ICPR 2006»

Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models

14 years 10 months ago

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Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...

Datong Chen, Jie Yang

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ICIP
2006
IEEE

126views Image Processing» more ICIP 2006»

Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images

14 years 11 months ago