1084 search results - page 2 / 217 » Hidden Markov Models with Multiple Observation Processes |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
ECML
2005
Springer
14 years 28 days ago
2005
Springer
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...