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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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SeGMA: Semi-Supervised Gaussian Mixture Autoencoder.

• Authors : Smieja, Marek (AUTHOR); Wolczyk, Maciej (AUTHOR); Tabor, Jacek (AUTHOR)

Subjects: GAUSSIAN mixture models; DISTRIBUTION (Probability theory); PERFORMANCE standards

• Source: IEEE Transactions on Neural Networks & Learning Systems. Sep2021, Vol. 32 Issue 9, p3930-3941. 12p.

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

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

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Classification of Outdoor 3D Lidar Data Based on Unsupervised Gaussian Mixture Models.

• Authors : Maligo, Artur; Lacroix, Simon

Subjects: LIDAR; GAUSSIAN mixture models; CLOUD computing

• Source: IEEE Transactions on Automation Science & Engineering. Jan2017, Vol. 14 Issue 1, p5-16. 12p.

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

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