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Mixture model

Known as: Contaminated Gaussian noise, Mixture coefficient, Contaminated Gaussian 
In statistics, a mixture model is a probabilistic model for representing the presence of subpopulations within an overall population, without… 
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Related topics

Related topics

43 relations
Automatic target recognitionBayesian networkCluster-weighted modelingCompositional data

Broader (2)

Cluster analysisMachine learning

Papers overview

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Highly Cited
2007
Highly Cited
2007
Robust distant speaker recognition based on position-dependent CMN by combining speaker-specific GMM with speaker-adapted HMM
Highly Cited
2005
Highly Cited
2005
Statistical modeling and conceptualization of natural images
Highly Cited
2004
Highly Cited
2004
Variable heavy tails in Internet traffic
2004
2004
Practical mixtures of Gaussians with brightness monitoring
We discuss some of the practical issues concerning the use of mixtures of Gaussians for background segmentation in outdoor scenes… 
Highly Cited
2003
Highly Cited
2003
Towards better making a decision in speaker verification
Highly Cited
1998
Highly Cited
1998
A method of combining multiple probabilistic classifiers through soft competition on different feature sets
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1989
Highly Cited
1989
Practical Characteristics of Neural Network and Conventional Pattern Classifiers on Artificial and Speech Problems
Eight neural net and conventional pattern classifiers (Bayesian-unimodal Gaussian, k-nearest neighbor, standard back-propagation… 
Highly Cited
1982
Highly Cited
1982
Signal detection in the presence of weakly dependent noise--II: Robust detection
The problem of designing robust systems for detecting constant signals in the presence of weakly dependent noise with uncertain… 
Highly Cited
1955
Highly Cited
1955
Gas-Phase Chromatography
QUITE recently, papers have appeared describing in detail the process of gas-phase chromatography1–3. Briefly, a sample of gas is… 
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