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Proportional data modeling via entropy-based variational bayes learning of mixture models., , , and . Appl. Intell., 47 (2): 473-487 (2017)Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings., , and . IEEE Trans. Neural Networks Learn. Syst., 34 (9): 6303-6312 (September 2023)Bounded Generalized Gaussian Mixture Model with ICA., and . Neural Process. Lett., 49 (3): 1299-1320 (2019)A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder., and . Pattern Recognit., (February 2024)Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures., , , , , and . Soft Comput., 23 (14): 5799-5813 (2019)Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis., , , and . Knowl. Based Syst., (2020)A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models., , and . Knowl. Based Syst., (2020)CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks., , , and . ICMLA, page 699-702. IEEE, (2022)Component Splitting-based Approach for Multivariate Beta Mixture Models Learning., , and . GlobalSIP, page 1-5. IEEE, (2019)Model-Based Hierarchical Clustering for Categorical Data., , and . ISIE, page 1424-1429. IEEE, (2019)