Detection of liver abnormalities—A new paradigm in medical image processing and classification techniques
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22782
Abstract: The liver is the body's most essential organ, and all human activities are interrelated with normal liver function. Any malfunction of the liver may lead to fatal diseases; therefore, early detection of liver abnormalities is… read more here.
Keywords: gmm; detection liver; liver; liver abnormalities ... See more keywords
Gaussian mixture model fitting method for uncertainty quantification by conditioning to production data
Sign Up to like & getrecommendations! Published in 2019 at "Computational Geosciences"
DOI: 10.1007/s10596-019-9823-3
Abstract: For most history matching problems, the posterior probability density function (PDF) may have multiple local maxima, and it is extremely challenging to quantify uncertainty of model parameters and production forecasts by conditioning to production data.… read more here.
Keywords: gmm; production; production data; history matching ... See more keywords
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c00396
Abstract: We introduce an unsupervised clustering algorithm to improve training efficiency and accuracy in predicting energies using molecular-orbital-based machine learning (MOB-ML). This work determines clusters via the Gaussian mixture model (GMM) in an entirely automatic manner… read more here.
Keywords: gmm; unsupervised clustering; training; orbital based ... See more keywords
MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3145059
Abstract: Collaborative perception in unknown environments is a critical task for multi-robot systems. Without external positioning, multi-robot mapping systems have relied on the transfer place recognition (PR) descriptors and sensor data for the relative pose estimation… read more here.
Keywords: gmm; communication; model; robot ... See more keywords
Nondata-Aided Rician Parameters Estimation With Redundant GMM for Adaptive Modulation in Industrial Fading Channel
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3095253
Abstract: Wireless networks have been widely utilized in industries, where wireless links are challenged by the severe nonstationary Rician fading channel, which requires online link quality estimation to support high-quality wireless services. However, most traditional Rician… read more here.
Keywords: gmm; rician parameters; modulation; fading channel ... See more keywords
Novel Gaussian mixture model based nonsingular terminal sliding mode control for spacecraft close-range proximity with complex shape obstacle
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering"
DOI: 10.1177/09544100211016172
Abstract: This study is mainly focusing on the problem of spacecraft close-range proximity with obstacle avoidance in the presence of complex shape. A novel Gaussian mixture model–based nonsingular terminal sliding mode control (GMM-NTSMC) is proposed. This… read more here.
Keywords: sliding mode; gmm; terminal sliding; complex shape ... See more keywords
Johansen’s Reduced Rank Estimator Is GMM
Sign Up to like & getrecommendations! Published in 2018 at "Econometrics"
DOI: 10.3390/econometrics6020026
Abstract: The generalized method of moments (GMM) estimator of the reduced-rank regression model is derived under the assumption of conditional homoscedasticity. It is shown that this GMM estimator is algebraically identical to the maximum likelihood estimator… read more here.
Keywords: reduced rank; johansen reduced; gmm; rank estimator ... See more keywords
HOG-SVM Impurity Detection Method for Chinese Liquor (Baijiu) Based on Adaptive GMM Fusion Frame Difference
Sign Up to like & getrecommendations! Published in 2022 at "Foods"
DOI: 10.3390/foods11101444
Abstract: Chinese liquor (Baijiu) is one of the four major distilled spirits in the world. At present, liquor products containing impurities still exist on the market, which not only damage corporate image but also endanger consumer… read more here.
Keywords: gmm; impurity detection; detection; method ... See more keywords
The Use of a Hidden Mixture Transition Distribution Model in Clustering Few but Long Continuous Sequences: An Illustration with Cognitive Skills Data
Sign Up to like & getrecommendations! Published in 2020 at "Symmetry"
DOI: 10.3390/sym12101618
Abstract: In accordance with the theme of this special issue, we present a model that indirectly discovers symmetries and asymmetries between past and present assessments within continuous sequences. More specifically, we present an alternative use of… read more here.
Keywords: psychology; continuous sequences; gmm; model ... See more keywords