Results 21 to 30 of about 88,517 (260)
Fitting a Gaussian Mixture Model Through the Gini Index
International Journal of Applied Mathematics and Computer Science, 2021 A linear combination of Gaussian components is known as a Gaussian mixture model. It is widely used in data mining and pattern recognition. In this paper, we propose a method to estimate the parameters of the density function given by a Gaussian mixture ...
López-Lobato Adriana Laura +1 more
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Extensible Gaussian Mixture Model for Image Prior Modeling [PDF]
Jisuanji gongcheng, 2020 To address the inextensible fixed number of components in image prior modeling based on Gaussian Mixture Model(GMM),this paper proposes an extensible GMM model based on Dirichlet Process(DP).Through the addition and merging mechanism of cluster ...
ZHANG Mohua, PENG Jianhua
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Continuous Gaussian mixture modeling [PDF]
, 1997 When the projection of a collection of samples onto a subset of basis feature vectors has a Gaussian distribution, those samples have a generalized projective Gaussian distribution (GPGD). GPGDs arise in a variety of medical images as well as some speech recognition problems.
Stephen R. Aylward, Stephen M. Pizer
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Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing. [PDF]
PLoS ONE, 2017 This paper considers three crucial issues in processing scaled down image, the representation of partial image, similarity measure and domain adaptation.
Siow Hoo Leong, Seng Huat Ong
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Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation
Entropy, 2009 By a “covering” we mean a Gaussian mixture model fit to observed data. Approximations of the Bayes factor can be availed of to judge model fit to the data within a given Gaussian mixture model.
Jean-Luc Starck +2 more
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Statistical Leakage Analysis Using Gaussian Mixture Model
IEEE Access, 2018 In the design process of advanced semiconductor devices, statistical leakage analysis has emerged as a major step due to uncertainties in the leakage current caused by the process variations. In this paper, a novel statistical leakage analysis which uses
Hyunjeong Kwon +3 more
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Ensemble image registration by a spatially constrained clustering approach
International Journal of Advanced Robotic Systems, 2016 In this article, a novel spatially constrained clustering approach is proposed for ensemble image registration. We use a spatially constrained Gaussian mixture model, which is based on a joint Gaussian mixture model and Markov random field, to model the ...
Hao Zhu +3 more
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Geoscience Letters, 2023 Earthquake occurrence modeling of large subduction events involves significant uncertainty, stemming from the scarcity of geological data and inaccuracy of dating techniques.
Katsuichiro Goda
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Supervoxel Segmentation with Voxel-Related Gaussian Mixture Model
Sensors, 2018 Extended from superpixel segmentation by adding an additional constraint on temporal consistency, supervoxel segmentation is to partition video frames into atomic segments.
Zhihua Ban, Zhong Chen, Jianguo Liu
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Regression with Gaussian Mixture ModelsApplied to Track Fitting
Instruments, 2020 This note describes the application of Gaussian mixture regression to track fitting with a Gaussian mixture model of the position errors. The mixture model is assumed to have two components with identical component means.
Rudolf Frühwirth
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