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Learning Switching Dynamic Models for Objects Tracking
Many recent tracking algorithms rely on model learning methods. A promising approach consists of modelling the object motion with switching autoregressive models. This... -
Assessing a Mixture Model for Clustering with the Integrated Classification L...
We propose assessing a mixture model in a cluster analysis setting with the inegrated classification likelihood. With this purpose, the observed data are assigned to... -
Estimation and Selection for the Latent Block Model on Categorical Data
This paper is dealing with estimation and model selection in the Latent Block Model (LBM) for categorical data. First, after providing sufficient conditions ensuring...
