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Graph Neural Networks for Intelligent Transportation Systems: A Survey.

, , , and . IEEE Trans. Intell. Transp. Syst., 24 (8): 8846-8885 (August 2023)

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Spatial color image segmentation based on finite non-Gaussian mixture models., and . Expert Syst. Appl., 39 (10): 8993-9001 (2012)Proportional data modeling via entropy-based variational bayes learning of mixture models., , , and . Appl. Intell., 47 (2): 473-487 (2017)Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications., and . Neurocomputing, (2019)Asymmetric Gaussian Mixtures with Reversible Jump MCMC., and . CCECE, page 1-4. IEEE, (2018)Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting., , , and . ICIAR (2), volume 11663 of Lecture Notes in Computer Science, page 94-105. Springer, (2019)Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution., and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 141-149. Springer, (2015)Online Learning for Two Novel Latent Topic Models., and . ICT-EurAsia, volume 8407 of Lecture Notes in Computer Science, page 286-295. Springer, (2014)Spatial Color Image Databases Summarization.. ICASSP (1), page 953-956. IEEE, (2007)A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection., , and . ICONIP (2), volume 7063 of Lecture Notes in Computer Science, page 125-132. Springer, (2011)An Infinite Mixture of Inverted Dirichlet Distributions., and . ICONIP (2), volume 7063 of Lecture Notes in Computer Science, page 71-78. Springer, (2011)