Results

eNauka >  Results >  Localized centering: Reducing hubness in large-sample data
Title: Localized centering: Reducing hubness in large-sample data
Authors: Kazuo Hara; Ikumi Suzuki; Masashi Shimbo; Kei Kobayashi; Kenji Fukumizu; Radovanović, Miloš  
Issue Date: 2015
Publication: Proceedings of the 29th AAAI Conference on Artificial Intelligence, 29th AAAI Conference on Artificial Intelligence, Austin, Texas, USA, 2015
ISSN: 2159-5399 Search Idenfier
Publisher: USA
Type: Conference Paper
Collation: str. 2645-2651
WoS-ID: 000485625502096
URI: https://enauka.gov.rs/handle/123456789/447709
https://www.cris.uns.ac.rs/record.jsf?recordId=102966&source=eNauka&language=en
http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9898
URL: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9898
Metadata source: Migracija
M-category: 
Mp. category will be shown later

19
WEB OF SCIENCETM

Find the DOI


Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.