Title :
Fast feature selection by analyzing class regions approximated by ellipsoids
Author :
Kawaratani, Kota ; Abe, Shigeo
Author_Institution :
Graduate Sch. of Sci. & Technol., Kobe Univ., Japan
Abstract :
In the previous work by Abe et al. (1998), the backward feature selection method based on class regions approximated by ellipsoids was developed. In this paper, we accelerate feature selection by the forward selection search, the symmetric Cholesky factorization, and deletion of duplicated calculations between consecutive factorizations. The feature selection for two data sets shows that our method is faster than and as robust as the previous method
Keywords :
covariance matrices; feature extraction; pattern classification; search problems; class regions approximation; covariance matrix; ellipsoids; factorizations; feature selection; pattern classification; symmetric Cholesky factorization; Acceleration; Covariance matrix; Ellipsoids; Optimization methods; Pattern classification; Pattern recognition; Robustness; Symmetric matrices; Training data;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861366
