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» Hierarchical Gaussian Mixture Model
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ESANN
2003
13 years 9 months ago
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
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...
CAS
2007
87views more  CAS 2007»
13 years 7 months ago
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
Alvaro Soto, Felipe Zavala, Anita Araneda
GI
2009
Springer
13 years 11 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
ISCAS
2007
IEEE
241views Hardware» more  ISCAS 2007»
14 years 1 months ago
Image Denoising using Shiftable Directional Pyramid and Scale Mixtures of Complex Gaussians
— 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
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
13 years 8 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen