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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

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Fabric defect classification using radial basis function network
2008
2008
Natural Language and Information Systems, 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, London, UK, June 24-27, 2008, Proceedings
2007
2007
Hierarchical Inference of Unicast Network Topologies Based on End-to-End Measurements
In this paper, we address the problem of topology discovery in unicast logical tree networks using end-to-end measurements… 
Highly Cited
2005
Highly Cited
2005
Statistical modeling and conceptualization of natural images
Highly Cited
2001
Highly Cited
2001
Evaluation of cross-language voice conversion based on GMM and straight
EUROSPEECH2001: the 7th European Conference on Speech Communication and Technology, September 3-7, 2001, Aalborg, Denmark. 
Highly Cited
1998
Highly Cited
1998
A method of combining multiple probabilistic classifiers through soft competition on different feature sets
Highly Cited
1996
Highly Cited
1996
Ammonia recycled percolation process for pretreatment of herbaceous biomass
An ammonia-based pretreatment method termed ammonia recycled percolation (ARP) was developed for pretreating herbaceous biomass… 
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
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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