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» Evaluating Adaptive Problem Selection
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SSD
2007
Springer
133views Database» more  SSD 2007»
14 years 3 months ago
Compression of Digital Road Networks
Abstract. In the consumer market, there has been an increasing interest in portable navigation systems in the last few years. These systems usually work on digital map databases st...
Jonghyun Suh, Sungwon Jung, Martin Pfeifle, Khoa T...
AINA
2006
IEEE
14 years 3 months ago
Peer-Tree: A Hybrid Peer-to-Peer Overlay for Service Discovery
Efficient service discovery in dynamic, crossorganizational VO is one of the challenge aspects in ChinaGrid. Network overlay and search algorithms are two important considerations...
Jing Tie, Hai Jin, Shengli Li, Xuanhua Shi, Hanhua...
ICRA
2006
IEEE
104views Robotics» more  ICRA 2006»
14 years 3 months ago
Implicit Coordination in Robotic Teams using Learned Prediction Models
— Many application tasks require the cooperation of two or more robots. Humans are good at cooperation in shared workspaces, because they anticipate and adapt to the intentions a...
Freek Stulp, Michael Isik, Michael Beetz
IROS
2006
IEEE
171views Robotics» more  IROS 2006»
14 years 3 months ago
Fast central catadioptric line extraction, estimation, tracking and structure from motion
— In this paper we present an analysis of 3D line projections for central catadioptric cameras from a projective perspective. Most algorithms consider the projection of lines as ...
Christopher Mei, Ezio Malis
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 3 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert