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148
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ICML
2004
IEEE
15 years 9 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
ICDAR
2003
IEEE
15 years 9 months ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens
CEC
2009
IEEE
15 years 8 months ago
Search methodologies for efficient planetary site selection
Landing on distant planets is always a challenging task due to the distance and hostile environments found. In the design of autonomous hazard avoidance systems we find the particu...
Luís F. Simões, Tiago C. Pais, Rita ...
CODES
2006
IEEE
15 years 7 months ago
Automatic selection of application-specific instruction-set extensions
In this paper, we present a general and an efficient algorithm for automatic selection of new application-specific instructions under hardware resources constraints. The instructi...
Carlo Galuzzi, Elena Moscu Panainte, Yana Yankova,...
126
Voted
ICPP
1995
IEEE
15 years 7 months ago
Sorting and Selection on Distributed Memory Bus Computers
In this paper we study the problems of sorting and selection on the Distributed Memory Bus Computer (DMBC) recently introduced by Sahni. In particular we present: 1) An efficient a...
Sanguthevar Rajasekaran, Sartaj Sahni