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Online variational finite Dirichlet mixture model and its applications.

, and . ISSPA, page 448-453. IEEE, (2012)

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Proportional data modeling via entropy-based variational bayes learning of mixture models., , , and . Appl. Intell., 47 (2): 473-487 (2017)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)Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis., , , and . Knowl. Based Syst., (2020)Spiking generative networks empowered by multiple dynamic experts for lifelong learning., , and . Expert Syst. Appl., 238 (Part B): 121845 (March 2024)Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings., , and . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6303-6312 (September 2023)DRL-Based Service Function Chain Edge-to-Edge and Edge-to-Cloud Joint Offloading in Edge-Cloud Network., , , , , and . IEEE Trans. Netw. Serv. Manag., 20 (4): 4478-4493 (December 2023)Axial Data Modeling with Collapsed Nonparametric Watson Mixture Models and Its Application to Depth Image Analysis., , and . PRCV (2), volume 12306 of Lecture Notes in Computer Science, page 17-28. Springer, (2020)Tow ship interference cancelling based on blind source separation algorithm., , , and . iCAST, page 465-468. IEEE, (2011)Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model., , , , and . ACIIDS, volume 12672 of Lecture Notes in Computer Science, page 130-143. Springer, (2021)Stochastic Expectation Propagation Learning for Unsupervised Feature Selection., , and . ICCCI (CCIS Volume), volume 1653 of Communications in Computer and Information Science, page 674-686. Springer, (2022)