3491 search results - page 497 / 699 » Cascaded Markov Models |
196
click to vote
HSNMC
2004
Springer
16 years 19 days ago
2004
Springer
Abstract. Performance of real-time applications on network communication channels are strongly related to losses and temporal delays. Several studies showed that these network feat...
213
click to vote
ECCV
2010
Springer
16 years 18 days ago
2010
Springer
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
202
click to vote
NN
1997
Springer
15 years 11 months 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...
170
click to vote
MVA
2007
15 years 8 months ago
2007
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
213
click to vote
UAI
1993
15 years 8 months ago
1993
In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...