Results 61 to 70 of about 365,701 (280)
A Novel Approach for Gaussian Mixture Model Clustering Based on Soft Computing Method
IEEE Access, 2021 Determining the number of clusters in a data set is a significant and difficult problem in cluster analysis. In this study, a new model-based clustering approach is proposed for the estimation of the number of clusters. In the proposed method, the number
Maruf Gogebakan
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Flexible Mixture Modeling with the Polynomial Gaussian Cluster-Weighted Model [PDF]
, 2012 In the mixture modeling frame, this paper presents the polynomial Gaussian cluster-weighted model (CWM). It extends the linear Gaussian CWM, for bivariate data, in a twofold way.
Punzo, Antonio
core
Nonmonotonic Generalization Bias of Gaussian Mixture Models [PDF]
Neural Computation, 2000 Theories of learning and generalization hold that the generalization bias, defined as the difference between the training error and the generalization error, increases on average with the number of adaptive parameters. This article, however, shows that this general tendency is violated for a gaussian mixture model. For temperatures just below the first
Akaho, S., Kappen, H.J.
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Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere
Advanced Engineering Materials, EarlyView.This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland +5 more
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Thermophysical Properties of the Desulphurization Slags With Various CaS and CaO/Al2O3 Ratio
Advanced Engineering Materials, EarlyView.This article investigates how CaS content and the CaO/Al2O3 ratio influence the thermophysical properties of desulphurization slags. Using experimental measurements and thermodynamic simulations, this study reveals complex effects on viscosity, surface tension, and density, providing new insight into slag structure and phase behavior under ...
Eldar Salpagarov +4 more
wiley +1 more source
Fine-Grained Image Classification With Gaussian Mixture Layer
IEEE Access, 2018 Fine-grained image classification aims at recognizing different subordinates in one basic-level category, for example, distinguishing species of birds. Compared with basic-level classification, it has both low inter-class and high intra-class variances ...
Jingyun Liang +3 more
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IEEE Access, 2020 Customized production, quality variation of raw materials and other factors make industrial processes work in multiple operating modes. In general, complex industrial processes have strong nonlinearity under each operating mode. In this paper, a Gaussian
Peng Tang +4 more
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Gaussian mixture 3D morphable face model
Pattern Recognition, 2018 A Gaussian Mixture 3DMM (GM-3DMM) which models the global population as a mixture of Gaussian subpopulations.A ESO-based model selection strategy for GM-3DMM fitting.A GM-3DMM-based face recognition framework by fusing multiple experts, which has achieved state-of-the-art result on the Multi-PIE face dataset.A new 3D face dataset, SURREY-JNU ...
Koppen, Paul +6 more
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Advanced Engineering Materials, EarlyView.This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff +9 more
wiley +1 more source
Underground target detection algorithm based on improved Gaussian mixture model
Gong-kuang zidonghua, 2021 The monitoring video images of underground coal mine have problems such as poor quality, noisy and being susceptible to sudden changes in illumination.
ZHANG Xiaoyan, GUO Haitao
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