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ICPR
2008
IEEE
13 years 11 months ago
Adaptive asymmetrical SVM and genetic algorithms based iris recognition
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
Kaushik Roy 0002, Prabir Bhattacharya
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
13 years 11 months ago
A hardware pipeline for function optimization using genetic algorithms
Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
Malay Kumar Pakhira, Rajat K. De
BIOSIG
2009
106views Biometrics» more  BIOSIG 2009»
13 years 3 months ago
Quantitative Standardization of Iris Image Formats
: This paper gives performance-based results for the application of a leading recognition algorithm applied to standardized iris imagery. The implementation was evaluated in NIST&#...
Patrick Grother
SSPR
2004
Springer
13 years 10 months ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
FCCM
2002
IEEE
109views VLSI» more  FCCM 2002»
13 years 10 months ago
Compiling ATR Probing Codes for Execution on FPGA Hardware
This paper describes the implementation of an automatic target recognition ATR Probing algorithm on a recon gurable system, using the SA-C programming language and optimizing co...
A. P. Wim Böhm, J. Ross Beveridge, Bruce A. D...