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» A Convex Approach for Variational Super-Resolution
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SCALESPACE
2009
Springer
15 years 6 months ago
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
Jan Lellmann, Jörg H. Kappes, Jing Yuan, Flor...
102
Voted
SIAMREV
2010
181views more  SIAMREV 2010»
14 years 7 months ago
A Variational Approach to Copositive Matrices
This work surveys essential properties of the so-called copositive matrices, the study of which is spread over more than fifty-five years. Special emphasis is given to variational ...
Jean-Baptiste Hiriart-Urruty, Alberto Seeger
132
Voted
JMLR
2012
13 years 2 months ago
Lifted coordinate descent for learning with trace-norm regularization
We consider the minimization of a smooth loss with trace-norm regularization, which is a natural objective in multi-class and multitask learning. Even though the problem is convex...
Miroslav Dudík, Zaïd Harchaoui, J&eacu...
AADA
2011
14 years 10 days ago
Sparse Template-Based variational Image Segmentation
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
CVPR
2009
IEEE
16 years 7 months ago
A Convex Relaxation Approach for Computing Minimal Partitions
In this work we propose a convex relaxation approach for computing minimal partitions. Our approach is based on rewriting the minimal partition problem (also known as Potts mode...
Thomas Pock (Graz University of Technology), Anton...