A Gaussian Mixture Model Approach To Classifying Response Types -- Interactive Generation Of Calligraphic Trajectories From Gaussian Mixtures -- Mixture models for the analysis, edition, and synthesis of continuous time series -- Multivariate Bounded Asymmetric Gaussian Mixture Model -- Online Recognition Via A Finite Mixture Of Multivariate Generalized Gaussian Distributions -- L2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of Von Mises Distributions with Localized Feature Selection -- Deriving Probabilistic SVM Kernels From Exponential Family Approximations to Multivariate Distributions for Count Data -- Toward an Efficient Computation of Log-likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering -- A Frequentist Inference Method Based On Finite Bivariate And Multivariate Beta Mixture Models -- Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting -- Online Variational Learning for Medical Image Data Clustering -- Color Image Segmentation using Semi-Bounded Finite Mixture Models by Incorporating Mean Templates -- Medical Image Segmentation Based on Spatially Constrained Inverted Beta-Liouville Mixture Models -- Flexible Statistical Learning Model For Unsupervised Image Modeling And Segmentation.