A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation
Wentao Fan, Nizar Bouguila, Xin Liu · 2017
In this paper, a hierarchical Dirichlet process (HDP) mixture model of generalized inverted Dirichlet (GID) distributions with an unsupervised feature selection scheme is developed. The proposed model is learned via a principled variational framework and then deployed for video modeling and segmentation. Experimental results show the merits of our developed statistical framework.