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PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models.

• Authors : Liu, Ziquan; Yu, Lei; Hsiao, Janet H.

Subjects: GAUSSIAN mixture models; EXPECTATION-maximization algorithms; PRINCIPAL components analysis

• Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Jun2022, Vol. 44 Issue 6, p3197-3211. 15p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models.

• Authors : Zhao, Mingyang (AUTHOR); Jia, Xiaohong (AUTHOR); Fan, Lubin (AUTHOR)

Subjects: GAUSSIAN mixture models; OCCLUSION (Chemistry); MIXTURES

• Source: IEEE Transactions on Image Processing. 2021, Vol. 30, p3828-3843. 16p.

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A Variational EM Acceleration for Efficient Clustering at Very Large Scales.

• Authors : Hirschberger, Florian; Forster, Dennis; Lucke, Jorg

Subjects: GAUSSIAN mixture models; COVARIANCE matrices; POLARONS

• Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Dec2022, Vol. 44 Issue Part3, p9787-9801. 15p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Virtual Metrology for Multistage Processes Using Variational Inference Gaussian Mixture Model and Extreme Learning Machine.

• Authors : Pan, Tianhong¹ (AUTHOR) ; Liu, Lu¹ (AUTHOR) ; Li, Menghu¹ (AUTHOR)

Subjects: *MANUFACTURING processes; GAUSSIAN mixture models; MACHINE learning

• Source: IEEE Transactions on Semiconductor Manufacturing. Aug2024, Vol. 37 Issue 3, p271-279. 9p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Correction to Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering.

• Authors : Hirai, So¹ ; Yamanishi, Kenji¹

Subjects: GAUSSIAN mixture models; CIPHERS

• Source: IEEE Transactions on Information Theory. Oct2019, Vol. 65 Issue 10, p6827-6828. 2p.

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