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» Evaluating Adaptive Problem Selection
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ICIP
2010
IEEE
15 years 1 months ago
Towards computational models of kinship verification
We tackle the challenge of kinship verification using novel feature extraction and selection methods, automatically classifying pairs of face images as "related" or &quo...
Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Ch...
ITICSE
1997
ACM
15 years 8 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley
TWC
2008
235views more  TWC 2008»
15 years 3 months ago
Optimal spectrum sensing framework for cognitive radio networks
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive r...
Won-Yeol Lee, Ian F. Akyildiz
INFOCOM
2003
IEEE
15 years 9 months ago
Opportunistic Fair Scheduling over Multiple Wireless Channels
Abstract— Emerging spread spectrum high-speed data networks utilize multiple channels via orthogonal codes or frequency-hopping patterns such that multiple users can transmit con...
Yonghe Liu, Edward W. Knightly
SARA
2005
Springer
15 years 9 months ago
Feature-Discovering Approximate Value Iteration Methods
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
Jia-Hong Wu, Robert Givan