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97
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ICCV
2011
IEEE
14 years 17 days ago
Superpixels via Pseudo-Boolean Optimization
We propose an algorithm for creating superpixels. The major step in our algorithm is simply minimizing two pseudo-boolean functions. The processing time of our algorithm on images...
Yuhang Zhang, Richard Hartley, John Mashford, Stew...
SIAMSC
2008
237views more  SIAMSC 2008»
15 years 14 days ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
88
Voted
CVPR
2008
IEEE
16 years 2 months ago
Globally optimal shape-based tracking in real-time
Most algorithms for real-time tracking of deformable shapes provide sub-optimal solutions for a suitable energy minimization task: The search space is typically considered too lar...
Thomas Schoenemann, Daniel Cremers
90
Voted
FCS
2006
15 years 1 months ago
Principles of Optimal Probabilistic Decision Tree Construction
Probabilistic (or randomized) decision trees can be used to compute Boolean functions. We consider two types of probabilistic decision trees - one has a certain probability to give...
Laura Mancinska, Maris Ozols, Ilze Dzelme-Berzina,...
90
Voted
NIPS
2003
15 years 1 months ago
Distributed Optimization in Adaptive Networks
We develop a protocol for optimizing dynamic behavior of a network of simple electronic components, such as a sensor network, an ad hoc network of mobile devices, or a network of ...
Ciamac Cyrus Moallemi, Benjamin Van Roy