Results 11 to 20 of about 88,093 (114)
Gaussian mixture model for extreme wind turbulence estimation [PDF]
Wind Energy Science, 2022 Uncertainty quantification is necessary in wind turbine design due to the random nature of the environmental inputs, through which the uncertainty of structural loads and response under specific situations can be quantified. Specifically, wind turbulence
X. Zhang, A. Natarajan
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Human action recognition based on mixed gaussian hidden markov model [PDF]
MATEC Web of Conferences, 2021 Human action recognition is a challenging field in recent years. Many traditional signal processing and machine learning methods are gradually trying to be applied in this field.
Xu Jiawei, Luo Qian
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The learning method of robot teaching sewing motion
Xi'an Gongcheng Daxue xuebao, 2022 In order to realize the robot′s learning of teaching sewing motion, a robot motion learning method based on Gaussian Mixture Model (GMM) -Gaussian Mixture Regression (GMR) was proposed.
WANG Haoyi, WANG Xiaohua, WANG Wenjie
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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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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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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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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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