On the Minimal Problems of Low-Rank Matrix Factorization
Författare
Redaktör
- Kristen Grauman
- Erik Learned-Miller
- Antonio Torralba
- Andrew Zisserman
Summary, in English
Avdelning/ar
Publiceringsår
2015
Språk
Engelska
Sidor
2549-2557
Publikation/Tidskrift/Serie
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Länkar
Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Mathematics
Nyckelord
- Computer vision
- low rank matrix factorization
- minimal problems
- robust methods
Conference name
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Conference date
2015-06-07 - 2015-06-12
Conference place
Boston, United States
Status
Published
Forskningsgrupp
- Mathematical Imaging Group
ISBN/ISSN/Övrigt
- ISBN: 978-1-4673-6963-3