787 search results - page 30 / 158 » The Application of Hidden Markov Models in Speech Recognitio... |
NN
1997
Springer
14 years 2 days ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
FGR
2000
IEEE
14 years 10 days ago
2000
IEEE
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
ICB
2007
Springer
13 years 9 months ago
2007
Springer
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
ICIP
2007
IEEE
13 years 8 months ago
2007
IEEE
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...