1084 search results - page 62 / 217 » Hidden Markov Models with Multiple Observation Processes |
118
click to vote
MM
2003
ACM
15 years 5 months ago
2003
ACM
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
198
click to vote
Book
"From an applications viewpoint, the main reason to study the subject of these notes is to help deal with the complexity of describing random, time-varying functions. A random...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We introduce a discriminative hidden-state approach for the recognition of human gestures. Gesture sequences often have a complex underlying structure, and models that can incorpo...
113
click to vote
TASE
2008
IEEE
14 years 11 months ago
2008
IEEE
Condition monitoring and fault diagnosis in modern manufacturing automation is of great practical significance. It improves quality and productivity, and prevents damage to machine...
115
click to vote
NIPS
2007
15 years 1 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...