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JMLR
2010
147views more  JMLR 2010»
13 years 2 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
ACCV
2010
Springer
13 years 2 months ago
Linear Solvability in the Viewing Graph
The Viewing Graph [1] represents several views linked by the corresponding fundamental matrices, estimated pairwise. Given a Viewing Graph, the tuples of consistent camera matrices...
Alessandro Rudi, Matia Pizzoli, Fiora Pirri
ECCV
2010
Springer
13 years 8 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
ICIP
2003
IEEE
14 years 9 months ago
An adaptive multigrid algorithm for region of interest diffuse optical tomography
Dueto diffuse nature of lightphotons, Diffuse Optical Tomography (DOT) image reconstruction is a challenging 3D problem with a relatively large number of unknowns and limited meas...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
RT
1998
Springer
13 years 11 months ago
Interactively Modeling with Photogrammetry
We describe an interactive system to reconstruct 3D geometry and extract textures from a set of photographs taken with arbitrary camera parameters. The basic idea is to let the use...
Pierre Poulin, Mathieu Ouimet, Marie-Claude Frasso...