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» An Experimental Study on Feature Subset Selection Methods
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140
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ECML
2007
Springer
15 years 10 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
137
Voted
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
16 years 4 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
AINA
2006
IEEE
15 years 10 months ago
Combinatorial Fusion Criteria for Real-Time Tracking
We address the problem of automated video tracking of targets when targets undergo multiple mutual occlusions. Our approach is based on the idea that as targets are occluded, sele...
D. Frank Hsu, Damian M. Lyons, Jizhou Ai
IJON
2008
121views more  IJON 2008»
15 years 4 months ago
Locality sensitive semi-supervised feature selection
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
Jidong Zhao, Ke Lu, Xiaofei He
RTSS
2003
IEEE
15 years 9 months ago
Experimental Evaluation of Code Properties for WCET Analysis
This paper presents a quantification of the timing effects that advanced processor features like data and instruction cache, pipelines, branch prediction units and out-oforder ex...
Antoine Colin, Stefan M. Petters