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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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CVPR
2007
IEEE
14 years 10 months ago
Online Learning Asymmetric Boosted Classifiers for Object Detection
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Minh-Tri Pham, Tat-Jen Cham
PIMRC
2008
IEEE
14 years 2 months ago
Blind channel estimation based on Second Order Statistics for IFDMA
—In this paper, the Interleaved Frequency Division Multiple Access (IFDMA) scheme is considered as a special case of Discrete Fourier Transform (DFT)-precoded Orthogonal Frequenc...
Anja Sohl, Anja Klein
IPPS
2002
IEEE
14 years 26 days ago
Toward Optimal Diffusion Matrices
Efficient load balancing algorithms are the key to many efficient parallel applications. Until now, research in this area has mainly been focusing on homogeneous schemes. Howeve...
Robert Elsässer, Burkhard Monien, Günter...
ICML
2006
IEEE
14 years 8 months ago
Iterative RELIEF for feature weighting
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
Yijun Sun, Jian Li
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
13 years 11 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein