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109
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 9 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
140
Voted
VTS
2002
IEEE
120views Hardware» more  VTS 2002»
15 years 8 months ago
Software-Based Weighted Random Testing for IP Cores in Bus-Based Programmable SoCs
We present a software-based weighted random pattern scheme for testing delay faults in IP cores of programmable SoCs. We describe a method for determining static and transition pr...
Madhu K. Iyer, Kwang-Ting Cheng
117
Voted
PR
2008
140views more  PR 2008»
15 years 3 months ago
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
This paper addresses the pose recovery problem of a particular articulated object: the human body. In this model-based approach, the 2D-shape is associated to the corresponding st...
Grégory Rogez, Carlos Orrite-Uruñuel...
151
Voted
AAAI
2000
15 years 5 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
188
Voted
HLK
2003
IEEE
15 years 9 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu