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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.
2012
2012
Health and Environmental Risks SCHER Scientific Committee on Emerging and Newly Identified Health Risks SCENIHR Scientific Committee on Consumer Safety SCCS Toxicity and Assessment of Chemical…
......................................................................................................... 3 1. BACKGROUND… 
2011
2011
An Auto-Associative Residual Processing and K-means Clustering Approach for Anemometer Health Assessment
This paper presents a health assessment methodology, as well as specific residual processing and figure of merit algorithms for… 
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
2005
2005
The role of the virtual channel in distributed source coding of video
In distributed video source coding side-information at the decoder is generated as a temporal prediction based on previous frames… 
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
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… 
1976
1976
Organelle-specific Isozymes of Aspartate-α-Ketoglutarate Transaminase in Spinach Leaves
Four distinct isozymes of aspartate-alpha-ketoglutarate transaminase in a spinach (Spinacia oleracea L.) leaf extract were… 
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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