Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests-Reference-Cited by-同舟云学术

Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests

Author:

Marecek Jakub¹^ORCID,Maroulis Stathis²^ORCID,Kalogeraki Vana²,Gunopulos Dimitrios³

Affiliation:

1. Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic

2. Department of Informatics, Athens University of Economics and Business, Athens, Greece

3. Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece

Funder

Operational Programme Research, Development and Education (OP RDE) Project “Research Center for Informatics”

EU H2020 TAILOR Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference85 articles.

1. Large-scale convex minimization with a low-rank constraint;shalev-shwartz;Proc 28th Int Conf Mach Learn (ICML),2011

3. A simple algorithm for nuclear norm regularized problems;jaggi;Proc 27th Int Conf Mach Learn (ICML),2010

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