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AAIM
2007
Springer
116views Algorithms» more  AAIM 2007»
15 years 10 months ago
Solving Generalized Maximum Dispersion with Linear Programming
The Generalized Maximum Dispersion problem asks for a partition of a given graph into p vertex-disjoint sets, each of them having at most k vertices. The goal is to maximize the to...
Gerold Jäger, Anand Srivastav, Katja Wolf
DAGM
2009
Springer
15 years 5 months ago
A Gradient Descent Approximation for Graph Cuts
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...
Alparslan Yildiz, Yusuf Sinan Akgul
COCO
2007
Springer
142views Algorithms» more  COCO 2007»
15 years 10 months ago
Quantum t-designs: t-wise Independence in the Quantum World
A t-design for quantum states is a finite set of quantum states with the property of simulating the Haar-measure on quantum states w.r.t. any test that uses at most t copies of a...
Andris Ambainis, Joseph Emerson
153
Voted
ICCV
1999
IEEE
16 years 6 months ago
Fast Approximate Energy Minimization via Graph Cuts
In this paper we address the problem of minimizing a large class of energy functions that occur in early vision. The major restriction is that the energy function's smoothnes...
Yuri Boykov, Olga Veksler, Ramin Zabih
CORR
2010
Springer
170views Education» more  CORR 2010»
15 years 4 months ago
Global Optimization for Value Function Approximation
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
Marek Petrik, Shlomo Zilberstein