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212
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TSP
2011
230views more  TSP 2011»
15 years 1 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
219
Voted
CVPR
2012
IEEE
13 years 9 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
203
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ECAI
2010
Springer
15 years 8 months ago
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Abstract. Control engineering is a field of major industrial importance as it offers principles for engineering controllable physical devices, such as cell phones, television sets,...
Arjen Hommersom, Peter J. F. Lucas
JCP
2007
104views more  JCP 2007»
15 years 6 months ago
An Integrated Self-Testing Framework for Autonomic Computing Systems
Abstract— As the technologies of autonomic computing become more prevalent, it is essential to develop methodologies for testing their dynamic self-management operations. Self-ma...
Tariq M. King, Alain E. Ramirez, Rodolfo Cruz, Pet...
200
Voted
ANSS
2006
IEEE
16 years 28 days ago
iSimBioSys: A Discrete Event Simulation Platform for 'in silico' study of biological systems
With the availability of huge databases cataloguing the various molecular “parts” of complex biological systems, researchers from multiple disciplines have focused on developi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...