276 search results - page 14 / 56 » PAC-Learning of Markov Models with Hidden State |
ISBI
2007
IEEE
14 years 1 months ago
2007
IEEE
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
DICTA
2003
13 years 8 months ago
2003
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
ICIAR
2009
Springer
14 years 10 hour ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
CIMCA
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we analyse the properties of the standard circular hidden Markov model (HMM) on 2D shape recognition. We point out the limitations of the circular HMMs and further ...