Results 21 to 30 of about 102,586 (261)
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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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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A Fast Incremental Gaussian Mixture Model. [PDF]
PLoS ONE, 2015 This work builds upon previous efforts in online incremental learning, namely the Incremental Gaussian Mixture Network (IGMN). The IGMN is capable of learning from data streams in a single-pass by improving its model after analyzing each data point and ...
Rafael Coimbra Pinto +1 more
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Variational Autoencoder With Optimizing Gaussian Mixture Model Priors
IEEE Access, 2020 The latent variable prior of the variational autoencoder (VAE) often utilizes a standard Gaussian distribution because of the convenience in calculation, but has an underfitting problem.
Chunsheng Guo +5 more
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Gaussian Mixture Model for Marine Reverberations
Applied Sciences, 2023 Ocean reverberations, a significant interference source in active sonar, arise as a response generated by random scattering at the receiving end, a consequence of randomly distributed clutter or irregular interfaces. Statistical analysis of reverberation
Tongjing Sun +4 more
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Binomial Gaussian mixture filter [PDF]
EURASIP Journal on Advances in Signal Processing, 2015 In this work, we present a novel method for approximating a normal distribution with a weighted sum of normal distributions. The approximation is used for splitting normally distributed components in a Gaussian mixture filter, such that components have smaller covariances and cause smaller linearization errors when nonlinear measurements are used for ...
Matti Raitoharju +2 more
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An Extended Mixture Inverse Gaussian Distribution [PDF]
Suan Sunandha Rajabhat University Journal of Science and Technology, 2016 This paper proposes an extend mixture inverse Gaussian (EMIG) distribution which is mixed between the inverse Gaussian distribution and the length biased inverse Gaussian (LBIG) distribution. The BirnbaumSaunders (BS) distribution and LBIG distribution
Chookait Pudprommarat
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Applied Sciences, 2021 Data with a multimodal pattern can be analyzed using a mixture model. In a mixture model, the most important step is the determination of the number of mixture components, because finding the correct number of mixture components will reduce the error of ...
Dwi Rantini, Nur Iriawan, Irhamah
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Mathematics, 2023 The mixture of experts (ME) model is effective for multimodal data in statistics and machine learning. To treat non-stationary probabilistic regression, the mixture of Gaussian processes (MGP) model has been proposed, but it may not perform well in some ...
Yurong Xie, Di Wu, Zhe Qiang
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