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» Exact Matrix Completion via Convex Optimization
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JMLR
2006
150views more  JMLR 2006»
13 years 4 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
PAMI
2002
102views more  PAMI 2002»
13 years 4 months ago
Estimating the Fundamental Matrix via Constrained Least-Squares: A Convex Approach
Graziano Chesi, Andrea Garulli, Antonio Vicino, Ro...
ECCV
2008
Springer
14 years 6 months ago
Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains
We propose a convex framework for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast as one...
Kalin Kolev, Daniel Cremers
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 5 months ago
Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit
Abstract--We consider the problem of recovering a lowrank matrix when some of its entries, whose locations are not known a priori, are corrupted by errors of arbitrarily large magn...
Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel ...
PAMI
2011
12 years 12 months ago
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
—We propose a convex formulation for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast a...
Daniel Cremers, Kalin Kolev