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ESANN
2004
15 years 5 months ago
A Modular Framework for Multi category feature selection in Digital mammography
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
Ranadhir Ghosh, Moumita Ghosh, John Yearwood
TIFS
2008
113views more  TIFS 2008»
15 years 4 months ago
A Selective Feature Information Approach for Iris Image-Quality Measure
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
Craig Belcher, Yingzi Du
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 1 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
PR
2002
270views more  PR 2002»
15 years 4 months ago
Feature selection toolbox
A software package developed for the purpose of feature selection in statistical pattern recognition is presented. The software tool includes both several classical and new method...
Petr Somol, Pavel Pudil
ISNN
2005
Springer
15 years 10 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang