This work presents a study on the capacity of hidden Markov model (HMM) to serve as a unified approach towards two challenging problems, partially occluded faces and variant poses in face recognition. In the training stage, parameters of HMM are trained based on frontal, fully observed face images. In the testing stage, the recognition rates of HMM based face recognition system are computed bas...

The objective of this paper is to automatically build a Hierarchical Hidden Markov Model (HHMM) (Fine et al., 1998) structure to detect semantic patterns from data with an unknown structure by exploring the natural hierarchical decomposition embedded in the data. The problem is important for effective motion data representation and analysis in a variety of applications: film and game making, mi...

This paper describes a methodology for the statistical modeling of music works. Starting from either the representation of the symbolic score or the audio recording of a performance, a hidden Markov model is built to represent the corresponding music work. The model can be used to identify unknown recordings and to align them with the corresponding score. Experimental evaluation using a collect...