Robot Obstacle Avoidance Learning Based on Mixture Models by Huiwen Zhang, Xiaoning Han, Mingliang Fu, Weijia Zhou

“…In this process, a lot of data are collected as a training set; then, to encode the training set data, which is equivalent to extracting the constraints of the task, Gaussian mixture model (GMM) is used. Secondly, a smooth obstacle-free path is generated by Gaussian mixture regression (GMR). …”
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Unsupervised Classification of Global Temperature Profiles Based on Gaussian Mixture Models by Xiaotian Ye, Weifeng Zhou

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Video Denoising Based on a Spatiotemporal Kalman-Bilateral Mixture Model by Chenglin Zuo, Yu Liu, Xin Tan, Wei Wang, Maojun Zhang

“…We propose a video denoising method based on a spatiotemporal Kalman-bilateral mixture model to reduce the noise in video sequences that are captured with low light. …”
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Damage Detection of Refractory Based on Principle Component Analysis and Gaussian Mixture Model by Changming Liu, Di Zhou, Zhigang Wang, Dan Yang, Gangbing Song

“…Based on the proposed approach, the Gaussian mixture model was integrated with the Bayesian information criterion to group the AE signals into two damage categories, which accounted for 99% of all damage. …”
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Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis by Weipeng Li, Yan Cao, Lijuan Li, Siyu Hou

“…The Gaussian mixture model (GMM) is an unsupervised clustering machine learning algorithm. …”
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Procedure of the removal of the outliers from the sample satisfying the multidimensional Gaussian mixture model by Gintautas Jakimauskas

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Nonparametric density estimation using a multidimensional mixture model of Gaussian distributions by Tomas Ruzgas, Mindaugas Kavaliauskas

“…There is developed method of inversion formula where noise cluster is included to general Gaussian mixture model. …”
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An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model by Kaikai Wang, Chun’an Tang, Ke Ma, Xintang Wang, Qiang Li

“…S transform (ST) and Manifold Learning (ML) methods are introduced to extract the characteristics of the microseismic signals, and Gaussian Mixture Model based on the improved Bee Colony optimization algorithm (IBC-GMM) is established to identify the microseismic signals accurately. …”
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Understanding road accident injury dynamics in Iran: a growth mixture modelling perspective by Ziba Zarrin, Kamran Gholamizadeh, Elaheh Talebi-Ghane, Erfan Ayubi, Omid Hamidi

“…To identify distinct clusters of provinces exhibiting similar trends in injury rates, a growth mixture model was used over the 10 years.Results Among provinces, Qom (95% CI 18.99 to 37.21) and Sistan and Baluchestan (95% CI 5.41 to 7.66) had the highest and lowest injury rates over the decade, respectively. …”
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Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models by Yu Zhang, Chris Bingham, Miguel Martínez-García, Darren Cox

“…This paper extends traditional Gaussian mixture model (GMM) techniques to provide recognition of operational states and detection of emerging faults for industrial systems. …”
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Bayesian p-curve mixture models as a tool to dissociate effect size and effect prevalence by John P. Veillette, Howard C. Nusbaum

“…We introduce a widely applicable Bayesian method, the p-curve mixture model, that jointly estimates prevalence and effect size by probabilistically clustering participant-level data based on their likelihood under a null distribution. …”
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An Extendable Gaussian Mixture Model for Lane-Based Queue Length Estimation Based on License Plate Recognition Data by Chaofeng Tan, Hao Wu, Keshuang Tang, Chaopeng Tan

“…Therefore, using single-section LPR data, this study proposes a lane-based queue length estimation method based on a two-dimensional Gaussian mixture model. First, the LPR data were processed to obtain the departure times and time headway of vehicles. …”
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Retracted: Simulation of Tennis Match Scene Classification Algorithm Based on Adaptive Gaussian Mixture Model Parameter Estimation by null Complexity

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Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model by Yohei Kakimoto, Yuto Omae, Hirotaka Takahashi

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Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models by Hesam Farsaie Alaie, Chakib Tadj

“…We make use of information inside infant’s cry signal in order to identify the infant’s psychological condition. Gaussian mixture models (GMMs) are applied to distinguish between healthy full-term and premature infants, and those with specific medical problems available in our cry database. …”
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Topology-Aware Efficient Path Planning in Dynamic Environments by Haoning Zhao, Jiamin Guo, Chaoqun Wang, Xuewen Rong, Yibin Li

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Identifying pesticide mixtures at country-wide scale by Cairo, Milena, Monnet, Anne-Christine, Robin, Stéphane, Porcher, Emmanuelle, Fontaine, Colin

Subjects: “…Active substances, Cluster, mixture model, expectation-maximization algorithm, risk assessment…”
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Rock fracture mode and acoustic emission characteristics under true triaxial single-sided unloading path by Longpei Ma, Longpei Ma, Chongyan Liu, Guangming Zhao, Guangming Zhao

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Impact of urban land cover change on land surface temperature by E. Igun, M. Williams

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Worth the effort? A practical examination of random effects in hidden Markov models for animal telemetry data by Brett T. McClintock

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