Feature space transformation using genetic algorithms

被引：48

作者：

Vafaie, H

De Jong, K

机构：

[1] Data Syst Res, Mclean, VA 22102 USA

[2] George Mason Univ, Dept Comp Sci, Fairfax, VA 22030 USA

来源：

IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS | 1998年 / 13卷 / 02期

关键词：

D O I：

10.1109/5254.671093

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The authors have developed an autonomous system that transforms feature spaces to improve classification techniques. They apply their method to an eye-detection face recognition system, demonstrating substantially better classification rates than competing systems.

引用

页码：57 / 65

页数：9

共 13 条

[1]

BALA J, 1995, P INT J C AI

[2]

BALA J, 1996, EVOLUTIONARY COMPUTA, V4

[3]

GUTTA S, 1995, INT WORKSH AUT FAC G

[4]

Holland JH., 1992, ADAPTATION NATURAL A, DOI DOI 10.7551/MITPRESS/1090.001.0001

[5]

KOHAVI R, 1995, WRAPPERS FEATURE SUB

[6]

Koza J.R., 1994, Genetic Programming II: Automatic Discovery of Reusable Programs

[7]

PEREZ E, 1995, P 12 INT C MACH LEAR, P447

[8]

Quinlan J.R., 1986, MACHINE LEARNING APP, V2, P149

[9]

RAVAGAN H, 1993, P 10 INT MACH LEARN, P252

[10]

VAFAIE H, 1993, FIFTH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, TAI '93, PROCEEDINGS, P356, DOI 10.1109/TAI.1993.633981

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