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AAAI
2008
15 years 3 months ago
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Currently, the most effective complete SAT solvers are based on the DPLL algorithm augmented by clause learning. These solvers can handle many real-world problems from application...
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, A...
96
Voted
CVPR
2010
IEEE
15 years 5 months ago
An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
100
Voted
ICCV
2003
IEEE
16 years 2 months ago
Learning How to Inpaint from Global Image Statistics
Inpainting is the problem of filling-in holes in images. Considerable progress has been made by techniques that use the immediate boundary of the hole and some prior information o...
Anat Levin, Assaf Zomet, Yair Weiss
94
Voted
HICSS
2010
IEEE
208views Biometrics» more  HICSS 2010»
15 years 7 months ago
Using Personality Factors to Predict Interface Learning Performance
This current study explored the impact of individual differences in personality factors on interface interaction and learning performance in both an interactive visualization and ...
Tera Marie Green, Dong Hyun Jeong, Brian Fisher
97
Voted
KR
1998
Springer
15 years 5 months ago
AOL: A logic of Acting, Sensing, Knowing, and Only Knowing
This work is motivated by the existence of two useful but quite different knowledge representation formalisms, the situation calculus due to McCarthy, and the logic OL of only kno...
Gerhard Lakemeyer, Hector J. Levesque