Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting
We introduce the Multidimensional asymmetric generalized Gaussian Mixture (AGGM). We propose two novel inference frameworks for unsupervised non-Gaussian feature selection. We have used these frameworks for action and facial expression recognition.
clustering asymmetric generalized gaussian feature selection facial expression recognition unsupervised learning action recognition