1084 search results - page 26 / 217 » Hidden Markov Models with Multiple Observation Processes |
JAIR
2000
14 years 11 months ago
2000
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
155
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PAMI
2007
14 years 11 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
ICONIP
2009
14 years 9 months ago
2009
We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not mo...
DMSN
2008
ACM
15 years 1 months ago
2008
ACM
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
120
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ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...