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» The Spectral Method for General Mixture Models
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ICA
2004
Springer
14 years 1 months ago
Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...
Shahram Hosseini, Yannick Deville
TSP
2008
74views more  TSP 2008»
13 years 7 months ago
Performance of ESPRIT for Estimating Mixtures of Complex Exponentials Modulated by Polynomials
High Resolution (HR) methods are known to provide accurate frequency estimates for discrete spectra. The Polynomial Amplitude Complex Exponentials (PACE) model, also called quasipo...
Roland Badeau, Gaël Richard, Bertrand David
BMCBI
2007
89views more  BMCBI 2007»
13 years 7 months ago
msmsEval: tandem mass spectral quality assignment for high-throughput proteomics
Background: In proteomics experiments, database-search programs are the method of choice for protein identification from tandem mass spectra. As amino acid sequence databases grow...
Jason W. H. Wong, Matthew J. Sullivan, Hugh M. Car...
ACCV
2009
Springer
14 years 2 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ICIP
2005
IEEE
14 years 9 months ago
An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level s
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
Mohand Saïd Allili, Djemel Ziou