565 search results - page 28 / 113 » Denoising and recognition using hidden Markov models with ob... |
ML
1998
ACM
13 years 7 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
AUTOMATICA
2007
13 years 7 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....
ICMCS
2000
IEEE
14 years 4 days ago
2000
IEEE
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
ICA
2012
Springer
12 years 3 months ago
2012
Springer
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
APPROX
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...