文献
J-GLOBAL ID:202202236164621516
整理番号:22A0832985
ストリーミングデータのための高速で信頼性のある増分次元縮小【JST・京大機械翻訳】
Fast and reliable incremental dimensionality reduction for streaming data
著者 (7件):
Neves Tacito Trindade de Araujo Tiburtino
(Federal University of Alagoas, Av. Manoel Severino Barbosa, Bom Sucesso, Arapiraca, AL, Brazil)
,
Martins Rafael Messias
(Department of Computer Science and Media Technology, Linnaeus University, Vaexjo, Sweden)
,
Coimbra Danilo Barbosa
(Federal University of Bahia, Avenida Adhemar de Barros, Ondina, Salvador, BA, Brazil)
,
Kucher Kostiantyn
(Department of Computer Science and Media Technology, Linnaeus University, Vaexjo, Sweden)
,
Kerren Andreas
(Department of Computer Science and Media Technology, Linnaeus University, Vaexjo, Sweden)
,
Kerren Andreas
(Department of Science and Technology Linkoping University, Norrkoping, Sweden)
,
Paulovich Fernando V.
(Faculty of Computer Science, Dalhousie University, Goldberg Computer Science Building, 6050 University Avenue, PO BOX 15000, Halifax, NS, B3H 4R2, Canada)
資料名:
Computers & Graphics
(Computers & Graphics)
巻:
102
ページ:
233-244
発行年:
2022年
JST資料番号:
D0525B
ISSN:
0097-8493
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)