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» Defining implicit objective functions for design problems
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STOC
2005
ACM
147views Algorithms» more  STOC 2005»
14 years 8 months ago
Simulating independence: new constructions of condensers, ramsey graphs, dispersers, and extractors
We present new explicit constructions of deterministic randomness extractors, dispersers and related objects. We say that a distribution X on binary strings of length n is a -sour...
Boaz Barak, Guy Kindler, Ronen Shaltiel, Benny Sud...
TSMC
1998
99views more  TSMC 1998»
13 years 7 months ago
Learning visually guided grasping: a test case in sensorimotor learning
Abstract—We present a general scheme for learning sensorimotor tasks which allows rapid on-line learning and generalization of the learned knowledge to unfamiliar objects. The sc...
Ishay Kamon, Tamar Flash, Shimon Edelman
TC
1998
13 years 7 months ago
Abstraction Techniques for Validation Coverage Analysis and Test Generation
ion Techniques for Validation Coverage Analysis and Test Generation Dinos Moundanos, Jacob A. Abraham, Fellow, IEEE, and Yatin V. Hoskote —The enormous state spaces which must be...
Dinos Moundanos, Jacob A. Abraham, Yatin Vasant Ho...
TWC
2008
120views more  TWC 2008»
13 years 7 months ago
Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks
In wireless ad hoc networks, autonomous nodes are reluctant to forward others' packets because of the nodes' limited energy. However, such selfishness and noncooperation ...
Charles Pandana, Zhu Han, K. J. Ray Liu
INFOCOM
2008
IEEE
14 years 2 months ago
A Distributed Optimization Algorithm for Multi-Hop Cognitive Radio Networks
Cognitive radio (CR) is a revolution in radio technology and is viewed as an enabling technology for dynamic spectrum access. This paper investigates how to design distributed alg...
Yi Shi, Y. Thomas Hou