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» Solving Demodulation as an Optimization Problem
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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 10 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
ESA
2006
Springer
136views Algorithms» more  ESA 2006»
15 years 7 months ago
Approximation in Preemptive Stochastic Online Scheduling
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
Nicole Megow, Tjark Vredeveld
JSAC
2008
110views more  JSAC 2008»
15 years 4 months ago
Low complexity resource allocation with opportunistic feedback over downlink OFDMA networks
Abstract--Optimal tone allocation in downlink OFDMA networks is a non-convex NP-hard problem that requires extensive feedback for channel information. In this paper, two constantco...
Rajiv Agarwal, Vinay R. Majjigi, Zhu Han, Rath Van...
CVPR
2011
IEEE
15 years 1 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
CORR
2011
Springer
145views Education» more  CORR 2011»
14 years 11 months ago
Global Search Based on Efficient Diagonal Partitions and a set of Lipschitz Constants
In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz const...
Yaroslav D. Sergeyev, Dmitri E. Kvasov