Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments

In this paper, a new approach to an online feature extrac�tion under nonstationary environments is proposed by extending Incre�mental Linear Discriminant Analysis (ILDA). The extended ILDA not only detect so-called “concept drifts” but also transfer the knowledge on discriminant feature spaces of th...

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Main Authors:	Annie, Joseph, Young Min, Jang, Seiichi, Ozawa, Minho, Lee
Other Authors:	Tingwen, Huang
Format:	Book Chapter
Language:	English
Published:	Springer 2012
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TN Mining engineering. Metallurgy
Online Access:	http://ir.unimas.my/id/eprint/39677/3/Neural%20Information%20Processing%20-%20Copy.pdf http://ir.unimas.my/id/eprint/39677/
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Institution:	Universiti Malaysia Sarawak
Language:	English

id	my.unimas.ir.39677
record_format	eprints
spelling	my.unimas.ir.396772022-09-19T09:08:49Z http://ir.unimas.my/id/eprint/39677/ Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments Annie, Joseph Young Min, Jang Seiichi, Ozawa Minho, Lee TK Electrical engineering. Electronics Nuclear engineering TN Mining engineering. Metallurgy In this paper, a new approach to an online feature extrac�tion under nonstationary environments is proposed by extending Incre�mental Linear Discriminant Analysis (ILDA). The extended ILDA not only detect so-called “concept drifts” but also transfer the knowledge on discriminant feature spaces of the past concepts to construct good feature spaces. The performance of the extended ILDA is evaluated for the benchmark datasets including sudden changes and reoccurrence in concepts. Springer Tingwen, Huang Zhigang, Zeng Chuandong, Li Sing Leung, Chi 2012 Book Chapter PeerReviewed text en http://ir.unimas.my/id/eprint/39677/3/Neural%20Information%20Processing%20-%20Copy.pdf Annie, Joseph and Young Min, Jang and Seiichi, Ozawa and Minho, Lee (2012) Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments. In: Neural Information Processing 19th International Conference, ICONIP 2012 Doha, Qatar, November 12-15, 2012 Proceedings, Part II. Lecture Notes in Computer Science ; 7664 . Springer, pp. 640-647.
institution	Universiti Malaysia Sarawak
building	Centre for Academic Information Services (CAIS)
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sarawak
content_source	UNIMAS Institutional Repository
url_provider	http://ir.unimas.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering TN Mining engineering. Metallurgy
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TN Mining engineering. Metallurgy Annie, Joseph Young Min, Jang Seiichi, Ozawa Minho, Lee Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
description	In this paper, a new approach to an online feature extrac�tion under nonstationary environments is proposed by extending Incre�mental Linear Discriminant Analysis (ILDA). The extended ILDA not only detect so-called “concept drifts” but also transfer the knowledge on discriminant feature spaces of the past concepts to construct good feature spaces. The performance of the extended ILDA is evaluated for the benchmark datasets including sudden changes and reoccurrence in concepts.
author2	Tingwen, Huang
author_facet	Tingwen, Huang Annie, Joseph Young Min, Jang Seiichi, Ozawa Minho, Lee
format	Book Chapter
author	Annie, Joseph Young Min, Jang Seiichi, Ozawa Minho, Lee
author_sort	Annie, Joseph
title	Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
title_short	Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
title_full	Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
title_fullStr	Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
title_full_unstemmed	Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
title_sort	extension of incremental linear discriminant analysis to online feature extraction under nonstationary environments
publisher	Springer
publishDate	2012
url	http://ir.unimas.my/id/eprint/39677/3/Neural%20Information%20Processing%20-%20Copy.pdf http://ir.unimas.my/id/eprint/39677/
_version_	1744652130867740672

Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments

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