Results 21 to 30 of about 33,807 (240)
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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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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Surrogate modeling approximation using a mixture of experts based on EM joint estimation [PDF]
, 2010 An automatic method to combine several local surrogate models is presented. This method is intended to build accurate and smooth approximation of discontinuous functions that are to be used in structural optimization problems.
Bartoli, Nathalie +4 more
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Statistical Compressed Sensing of Gaussian Mixture Models [PDF]
, 2011 A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribution, and achieving accurate reconstruction on average, is introduced.
Sapiro, Guillermo, Yu, Guoshen
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Performance analysis and optimization of automatic speech recognition [PDF]
, 2018 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Arnau Montañés, José María +3 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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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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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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Sliced Wasserstein Distance for Learning Gaussian Mixture Models
, 2017 Gaussian mixture models (GMM) are powerful parametric tools with many applications in machine learning and computer vision. Expectation maximization (EM) is the most popular algorithm for estimating the GMM parameters.
Hoffmann, Heiko +2 more
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