Active subspace: Toward scalable low-rank learning

10.1162/NECO_a_00369

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Bibliographic Details
Main Authors: Liu, G., Yan, S.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/54880
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Institution: National University of Singapore
id sg-nus-scholar.10635-54880
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spelling sg-nus-scholar.10635-548802023-08-22T07:19:54Z Active subspace: Toward scalable low-rank learning Liu, G. Yan, S. ELECTRICAL & COMPUTER ENGINEERING 10.1162/NECO_a_00369 Neural Computation 24 12 3371-3394 2014-06-17T02:36:35Z 2014-06-17T02:36:35Z 2012 Article Liu, G., Yan, S. (2012). Active subspace: Toward scalable low-rank learning. Neural Computation 24 (12) : 3371-3394. ScholarBank@NUS Repository. https://doi.org/10.1162/NECO_a_00369 08997667 http://scholarbank.nus.edu.sg/handle/10635/54880 000310787300011 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1162/NECO_a_00369
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
Liu, G.
Yan, S.
format Article
author Liu, G.
Yan, S.
spellingShingle Liu, G.
Yan, S.
Active subspace: Toward scalable low-rank learning
author_sort Liu, G.
title Active subspace: Toward scalable low-rank learning
title_short Active subspace: Toward scalable low-rank learning
title_full Active subspace: Toward scalable low-rank learning
title_fullStr Active subspace: Toward scalable low-rank learning
title_full_unstemmed Active subspace: Toward scalable low-rank learning
title_sort active subspace: toward scalable low-rank learning
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/54880
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