Results 21 to 30 of about 34,052 (223)
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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EURASIP Journal on Advances in Signal Processing, 2004 We propose a self-splitting Gaussian mixture learning (SGML) algorithm for Gaussian mixture modelling. The SGML algorithm is deterministic and is able to find an appropriate number of components of the Gaussian mixture model (GMM) based on a self ...
Shih-Sian Cheng +2 more
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Adaptive Gaussian Mixture Model for Uncertainty Propagation Using Virtual Sample Generation
Applied Sciences, 2023 Orbit uncertainty propagation plays an important role in the analysis of a space mission. The accuracy and computation expense are two critical essences of uncertainty propagation.
Tianlai Xu, Zhe Zhang, Hongwei Han
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Multi-stream gaussian mixture model based facial feature localization=Çoklu gauss karışım modeli tabanlı yüz öznitelikleri bulma algoritması [PDF]
, 2008 This paper presents a new facial feature localization system which estimates positions of eyes, nose and mouth corners simultaneously. In contrast to conventional systems, we use the multi-stream Gaussian mixture model (GMM) framework in order to ...
Ekenel, Hazım K. +4 more
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Object Tracking with Multiple Instance Learning and Gaussian Mixture Model [PDF]
, 2015 Recently, Multiple Instance Learning (MIL) technique has been introduced for object tracking\linebreak applications, which has shown its good performance to handle drifting problem. While some instances in positive bags not only contain objects, but also
Bai, Bendu +4 more
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Model Identifikasi Pemalsuan Ijazah menggunakan Gabor Wavelet dan Gaussian Mixture Models Super Vektor (GMM-SV) [PDF]
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 2020 Various cases occur related to certificate falsification and some people and educational institutions have to deal with the law, this problem is not impossible to abuse along with advances and technological innovation with various tools that can be used by anyone.
Alfina Alfina, Dzulgunar Muhammad Nasir
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On the characterization of flowering curves using Gaussian mixture models [PDF]
, 2016 In this paper, we develop a statistical methodology applied to the characterization of flowering curves using Gaussian mixture models. Our study relies on a set of rosebushes flowering data, and Gaussian mixture models are mainly used to quantify the ...
Clotault, Jérémy +4 more
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Orthogonal Wavelet Transform-Based Gaussian Mixture Model for Bearing Fault Diagnosis
Discrete Dynamics in Nature and Society, 2023 The Gaussian mixture model (GMM) is an unsupervised clustering machine learning algorithm. This procedure involves the combination of multiple probability distributions to describe different sample spaces.
Weipeng Li, Yan Cao, Lijuan Li, Siyu Hou
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Global soil moisture bimodality in satellite observations and climate models [PDF]
, 2017 A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models.
de Jeu, RAM +3 more
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Chemical Engineering Transactions, 2016 Gaussian mixture model (GMM) and Gaussian mixture regression (GMR) can be used to detect adulteration in extra virgin olive oil. The estimate of the GMM parameters is commonly obtained from the expectation- maximization (EM) algorithm.
X. Xie, Y. Gao, W.M. Shi, Q. Shen
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