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IJCAI
2001
15 years 7 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
IJCAI
2001
15 years 7 months ago
Making AC-3 an Optimal Algorithm
The AC-3 algorithm is a basic and widely used arc consistency enforcing algorithm in Constraint Satisfaction Problems (CSP). Its strength lies in that it is simple, empirically ef...
Yuanlin Zhang, Roland H. C. Yap
ECCV
2010
Springer
15 years 6 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
CVPR
2008
IEEE
15 years 6 months ago
Globally optimal surface segmentation using regional properties of segmented objects
Efficient segmentation of globally optimal surfaces in volumetric images is a central problem in many medical image analysis applications. Intra-class variance has been successful...
Xin Dou, Xiaodong Wu, Andreas Wahle, Milan Sonka
CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 6 months ago
XPath Whole Query Optimization
Previous work reports about SXSI, a fast XPath engine which executes tree automata over compressed XML indexes. Here, reasons are investigated why SXSI is so fast. It is shown tha...
Sebastian Maneth, Kim Nguyen