661 search results - page 10 / 133 » Risk and Information in the Estimation of Hidden Markov Mode... |
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
ICCV
2003
IEEE
14 years 10 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...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...