Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Abstract. This paper proposes a new method to solve the problem of face recognition under varying illumination conditions. We introduce an exemplar-based technique to decouple and ...
Abstract The research presented here is to create 3D virtual face based on the canonical face model derived from a clustering method on facial feature points. The algorithm efficie...
In this paper, we study the problem of learning phylogenies and hidden Markov models. We call the Markov model nonsingular if all transtion matrices have determinants bounded away...
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characte...