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CVPR
2007
IEEE
14 years 9 months ago
Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
Carl Olsson, Anders P. Eriksson, Fredrik Kahl
ECCV
2006
Springer
14 years 9 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
ECCV
2002
Springer
14 years 9 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
DSN
2009
IEEE
14 years 2 months ago
VNsnap: Taking snapshots of virtual networked environments with minimal downtime
A virtual networked environment (VNE) consists of virtual machines (VMs) connected by a virtual network. It has been adopted to create “virtual infrastructures” for individual...
Ardalan Kangarlou, Patrick Eugster, Dongyan Xu
COCOON
2009
Springer
14 years 2 months ago
A Polynomial-Time Perfect Sampler for the Q-Ising with a Vertex-Independent Noise
We present a polynomial-time perfect sampler for the Q-Ising with a vertex-independent noise. The Q-Ising, one of the generalized models of the Ising, arose in the context of Baye...
Masaki Yamamoto, Shuji Kijima, Yasuko Matsui