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JMLR
2010
150views more  JMLR 2010»
13 years 4 months ago
Supervised Dimension Reduction Using Bayesian Mixture Modeling
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...
Kai Mao, Feng Liang, Sayan Mukherjee
ICASSP
2011
IEEE
13 years 1 months ago
Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise
In many applications non-stationary Gaussian or stationary nonGaussian noises can be observed. In this paper we present a maximum a posteriori estimation jointly of spectral ampli...
Balázs Fodor, Tim Fingscheidt
ICCV
2007
IEEE
14 years 4 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
ICASSP
2009
IEEE
14 years 4 months ago
Joint map adaptation of feature transformation and Gaussian Mixture Model for speaker recognition
This paper extends our previous work on feature transformationbased support vector machines for speaker recognition by proposing a joint MAP adaptation of feature transformation (...
Donglai Zhu, Bin Ma, Haizhou Li
AVSS
2005
IEEE
14 years 3 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Patrick Dickinson, Andrew Hunter