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» Robust Bayesian Mixture Modelling
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ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduc...
Arunan Ramalingam, Sridhar Krishnan
86
Voted
IJON
2011
186views more  IJON 2011»
14 years 29 days ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
83
Voted
ICCV
2007
IEEE
15 years 3 months ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen
87
Voted
JMLR
2011
148views more  JMLR 2011»
14 years 4 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
IJAR
2010
97views more  IJAR 2010»
14 years 8 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...