113 search results - page 4 / 23 » Hidden Markov Model} Induction by Bayesian Model Merging |
115
click to vote
FLAIRS
2008
14 years 12 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
BVAI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
ICIAP
2007
ACM
15 years 9 months ago
2007
ACM
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
We present a hierarchical image based facial model which is driven from speech. It incorporates a novel modelling and synthesis algorithm for learning and producing coarticulated ...