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» Feature Selection from Huge Feature Sets
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 12 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
CVPR
2001
IEEE
16 years 8 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
MLDM
2007
Springer
16 years 13 days ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
JCP
2006
85views more  JCP 2006»
15 years 6 months ago
A Constructive Meta-Level Feature Selection Method based on Method Repositories
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...
Hidenao Abe, Takahira Yamaguchi
ICML
2007
IEEE
16 years 7 months ago
Feature selection in a kernel space
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...