490 search results - page 7 / 98 » Abstraction Augmented Markov Models |
CVIU
2004
14 years 10 months ago
2004
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
103
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LICS
2010
IEEE
14 years 8 months ago
2010
IEEE
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
AIIA
2007
Springer
15 years 4 months ago
2007
Springer
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
DSOM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Nowadays, network load is constantly increasing and high-speed infrastructures (1-10Gbps) are becoming increasingly common. In this context, flow-based intrusion detecti...