Mixture Models and Applications

Chapter 1 A Gaussian Mixture Model Approach to Classifying Response Types

Chapter 2 Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Chapter 3 Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series

Chapter 4 Multivariate Bounded Asymmetric Gaussian Mixture Model

Chapter 5 Online Recognition via a Finite Mixture of Multivariate Generalized Gaussian Distributions

Chapter 6 L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection

Chapter 7 Deriving Probabilistic SVM Kernels from Exponential Family Approximations to Multivariate Distributions for Count Data

Chapter 8 Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering

Chapter 9 A Frequentist Inference Method Based on Finite Bivariate and Multivariate Beta Mixture Models

Chapter 10 Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting

Chapter 11 Online Variational Learning for Medical Image Data Clustering

Chapter 12 Color Image Segmentation Using Semi-bounded Finite Mixture Models by Incorporating Mean Templates

Chapter 13 Medical Image Segmentation Based on Spatially Constrained Inverted Beta-Liouville Mixture Models

Chapter 14 Flexible Statistical Learning Model for Unsupervised Image Modeling and Segmentation