Data compression by volume prototypes for streaming data

Tabata, Kenji; Sato, Maiko; Kudo, Mineichi

Pattern Recognition, 2010, 43(9), 3162-3176

Permalink : https://hdl.handle.net/2115/43802

このアイテムのアクセス数:1,407件（2026-05-15 13:08 集計）

ファイル	フォーマット	サイズ	閲覧回数	説明
PR43-9_3162-3176	pdf	9.21 MB	1,572

アクセス権	open access
URI	https://hdl.handle.net/2115/43802
タイトル	Data compression by volume prototypes for streaming data
著者	Tabata, Kenji ; Sato, Maiko ; Kudo, Mineichi
著者名 Tabata, Kenji
著者名 Sato, Maiko
e-Rad_Researcher 60205101 著者名 Kudo, Mineichi
言語	英語
キーワード	Volume prototypes
	One-pass algorithm
	Streaming data
	Concept drift
発行日	2010-09
出版者	Elsevier
収録物名	Pattern Recognition
巻(号)	43(9)
ページ	3162-3176
抄録	In these years, we often deal with an enormous amount of data in a large variety of pattern recognition tasks. Such data require a huge amount of memory space and computation time for processing. One of the approaches to cope with these problems is using prototypes. We propose volume prototypes as an extension of traditional point prototypes. A volume prototype is defined as a geometric configuration that represents some data points inside. A volume prototype is akin to a data point in the usage rather than a component of a mixture model. We show a one-pass algorithm to have such prototypes for data stream, along with an application for classification. An oblivion mechanism is also incorporated to adapt concept drift.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
PISSN	0031-3203
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.patcog.2010.03.012