DocumentCode
3167062
Title
Floating search methods for feature selection with nonmonotonic criterion functions
Author
Pudil, P. ; Ferri, F.J. ; Novovicovã, J. ; Kittler, J.
Author_Institution
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Volume
2
fYear
1994
fDate
9-13 Oct 1994
Firstpage
279
Abstract
In this paper the recently developed “floating search” algorithms are presented and modified to a more compact form facilitating their direct comparison with the well known (l,r) search. The properties of the floating search methods are investigated, especially with respect to their tolerance to nonmonotonic criteria. Their computational efficiency is demonstrated by results on real data of high dimensionality
Keywords
search problems; backtracking; computational efficiency; feature selection; floating search; nonmonotonic criterion functions; pattern recognition; sequential selection algorithm; Computational efficiency; Computer vision; Degradation; Error analysis; Information theory; Pattern classification; Pattern recognition; Performance evaluation; Search methods; Search problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6270-0
Type
conf
DOI
10.1109/ICPR.1994.576920
Filename
576920
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