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SIAMIS
2010
167views more  SIAMIS 2010»
13 years 4 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
AMC
2010
116views more  AMC 2010»
13 years 10 months ago
On a bilinear optimization problem in parallel magnetic resonance imaging
This work is concerned with the structure of bilinear minimization problems arising in recovering subsampled and modulated images in parallel magnetic resonance imaging. By consid...
Christian Clason, Gregory von Winckel
EMMCVPR
2011
Springer
12 years 9 months ago
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
Variational relaxations can be used to compute approximate minimizers of optimal partitioning and multiclass labeling problems on continuous domains. While the resulting relaxed co...
Jan Lellmann, Frank Lenzen, Christoph Schnörr
ICCV
2009
IEEE
15 years 2 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
EUROGP
2004
Springer
123views Optimization» more  EUROGP 2004»
14 years 3 months ago
Global Distributed Evolution of L-Systems Fractals
Internet based parallel genetic programming (GP) creates fractal patterns like Koch’s snow flake. Pfeiffer, http://www.cs.ucl.ac.uk /staff/W.Langdon/pfeiffer.html, by analogy w...
William B. Langdon