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» An efficient algorithm for a class of fused lasso problems
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JMLR
2012
11 years 8 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
CATS
2006
13 years 7 months ago
Combinatorial Generation by Fusing Loopless Algorithms
Some combinatorial generation problems can be broken into subproblems for which loopless algorithms already exist. We discuss means by which loopless algorithms can be fused to pr...
Tadao Takaoka, Stephen Violich
ICCV
2009
IEEE
14 years 8 months ago
The Swap and Expansion Moves Revisited and Fused
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
Ido Leichter
ICML
2010
IEEE
13 years 6 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
CVPR
2003
IEEE
14 years 7 months ago
Fusing Online and Offline Information for Stable 3D Tracking in Real-Time
We propose an efficient online real-time solution for singlecamera 3?D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial oc...
Luca Vacchetti, Vincent Lepetit, Pascal Fua