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Riemannian optimization with subspace tracking for low-rank recovery

Li, Qian, Niu, Wenjia, Li, Gang, Tan, Jianlong, Xiong, Gang and Guo, Li 2016, Riemannian optimization with subspace tracking for low-rank recovery, in IJCNN 2016: Proceedings of the IEEE International Joint Conference on Neural Networks, IEEE, Piscataway, N.J., pp. 3280-3287, doi: 10.1109/IJCNN.2016.7727618.

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Title Riemannian optimization with subspace tracking for low-rank recovery
Author(s) Li, Qian
Niu, Wenjia
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Tan, Jianlong
Xiong, Gang
Guo, Li
Conference name Neural Networks. IEEE International Joint Conference (2016 : Vancouver, Canada)
Conference location Vancouver, Canada
Conference dates 24-29 Jul. 2016
Title of proceedings IJCNN 2016: Proceedings of the IEEE International Joint Conference on Neural Networks
Publication date 2016
Conference series IEEE International Joint Conference on Neural Networks
Start page 3280
End page 3287
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) matrix recovery
Riemannian Manifold
principle component pursuit
matrix completion
ISBN 9781509006205
Language eng
DOI 10.1109/IJCNN.2016.7727618
Field of Research 080399 Computer Software not elsewhere classified
Socio Economic Objective 0 Not Applicable
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30093341

Document type: Conference Paper
Collection: School of Information Technology
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