Class-dependent feature weights evaluation

Authors:
Georgi Gluhchev;Mladen Savov;Ognyan Boumbarov
Affiliations:
Institute of Information Technologies -- BAS;Institute of Information Technologies -- BAS;Technical University of Sofia
Venue:
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Year:
2007

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Abstract

The idea for the evaluation of class-dependent feature weights in verification problems is suggested. A scheme for non-exhaustive search based on the theory of experiment planning is used. The experiments carried out with a real signature based verification problem have shown an increase in the accuracy of up-to 1.7% for some classes.