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» Algorithms for finding clique-transversals of graphs
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ECCV
2004
Springer
14 years 10 months ago
Probabilistic Multi-view Correspondence in a Distributed Setting with No Central Server
Abstract. We present a probabilistic algorithm for finding correspondences across multiple images. The algorithm runs in a distributed setting, where each camera is attached to a s...
Shai Avidan, Yael Moses, Yoram Moses
CVPR
2008
IEEE
14 years 10 months ago
FusionFlow: Discrete-continuous optimization for optical flow estimation
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely ...
Victor S. Lempitsky, Stefan Roth, Carsten Rother
HEURISTICS
2006
120views more  HEURISTICS 2006»
13 years 8 months ago
A study of ACO capabilities for solving the maximum clique problem
This paper investigates the capabilities of the Ant Colony Optimization (ACO) meta-heuristic for solving the maximum clique problem, the goal of which is to find a largest set of ...
Christine Solnon, Serge Fenet
CORR
2006
Springer
119views Education» more  CORR 2006»
13 years 8 months ago
Network Inference from Co-Occurrences
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
Michael Rabbat, Mário A. T. Figueiredo, Rob...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 10 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang