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208
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TKDE
2012
13 years 9 months ago
2012
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
206
Voted
ISSS
1995
IEEE
15 years 10 months ago
1995
IEEE
This paper presents a system level design methodology and its implementation as CAD tool for the optimization of heterogeneous multiprocessor systems. These heterogeneous systems,...
167
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ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
132
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ITEE
2007
15 years 8 months ago
2007
— Landscape fragmentation is a major threat to a lot of wildlife species with a large spatial activity range. To ease the dispersal through the landscape, a lot of different meas...
160
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
In this paper I investigate several offline and online data transfer scheduling problems and propose efficient algorithms and techniques for addressing them. In the offline case, ...