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» Biometric Recognition Using Feature Selection and Combinatio...
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157
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PRL
2007
180views more  PRL 2007»
15 years 2 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
127
Voted
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 7 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
179
Voted
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 4 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
121
Voted
ICPR
2008
IEEE
16 years 4 months ago
Towards mobile authentication using dynamic signature verification: Useful features and performance evaluation
The proliferation of handheld devices such as PDAs and smartphones represents a new scenario for automatic signature verification. Traditionally, research on signature verificatio...
Marcos Martinez-Diaz, Julian Fiérrez-Aguila...
143
Voted
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 20 days 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...