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» Extremal Optimization: Methods derived from Co-Evolution
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NIPS
2003
13 years 10 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
PIMRC
2010
IEEE
13 years 6 months ago
A multi-threshold scheme for feedback load reduction in multiuser MIMO broadcast channel
In a multiuser system, independent time-varying channels among different users can be exploited to provide multiuser diversity (MUD) gain and increase the system throughput. For th...
Jin-Hao Li, Hsuan-Jung Su, Yu-Lun Tsai
ICDAR
2009
IEEE
14 years 3 months ago
Text Line Segmentation Based on Morphology and Histogram Projection
Text extraction is an important phase in document recognition systems. In order to segment text from a page document it is necessary to detect all the possible manuscript text reg...
Rodolfo P. dos Santos, Gabriela S. Clemente, Ing R...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
IJIT
2004
13 years 10 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...