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Gaussian Mixture Model Cluster Forest
2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015Random Forest (RF) classification algorithm is widely used in the area of information retrieval and became a basis for some extended branches of classification and/or regression algorithms. Cluster Forest (CF) represents a particular branch, and brings usually better results than individual clustering algorithms.
Jan Janouek +3 more
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Splitting Gaussians in Mixture Models
2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance, 2012Gaussian mixture models have been extensively used and enhanced in the surveillance domain because of their ability to adaptively describe multimodal distributions in real-time with low memory requirements. Nevertheless, they still often suffer from the problem of converging to poor solutions if the main mode stretches and thus over-dominates weaker ...
Ruben Heras Evangelio +2 more
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Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor
IEEE Transactions on Cybernetics, 2021Weiming Shao, Zhiqiang Ge, Zhihuan Song
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Robust Point Set Registration Using Gaussian Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011Bing Jian, Baba C Vemuri
exaly
A robust EM clustering algorithm for Gaussian mixture models
Pattern Recognition, 2012Miin-Shen Yang
exaly