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» A poset framework to model decentralized control problems
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UAI
2004
13 years 10 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
IRI
2006
IEEE
14 years 3 months ago
Applying the layered decision model to the design of language-based security systems
Safeguarding practices for networked systems involves decisions in at least three areas: identification of welldefined security policies, selection of cost-effective defense strat...
Huaqiang Wei, Jim Alves-Foss
ACOM
2004
Springer
14 years 21 days ago
A Model of Rational Agency for Communicating Agents
The Cognitive Agent Specification Language (CASL) is a framework for specifying and verifying complex communicating multiagent systems. In this paper, we develop an extended versi...
Shakil M. Khan, Yves Lespérance
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
AAAI
2011
12 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos