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» Level-set methods for convex optimization
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ACCV
2010
Springer
14 years 9 months ago
Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery
We present a new approach to robustly solve photometric stereo problems. We cast the problem of recovering surface normals from multiple lighting conditions as a problem of recover...
Lun Wu, Arvind Ganesh, Boxin Shi, Yasuyuki Matsush...
ESANN
2004
15 years 3 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
ICML
2009
IEEE
16 years 2 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
CISS
2008
IEEE
15 years 8 months ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk
ICC
2007
IEEE
15 years 8 months ago
Hybrid Power/Overlap Allocation Scheme for a Multirate Overlapped Optical CDMA System
– This paper addresses the problem of resource allocation in a multiservice optical network based on an Overlapped-CDMA system. A joint transmission power and overlapping coeffic...
Robert Raad, Elie Inaty, Paul Fortier, Hossam M. H...