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» Approximation Algorithms for Min-Max Generalization Problems
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EMMCVPR
2011
Springer
14 years 1 months ago
Branch and Bound Strategies for Non-maximal Suppression in Object Detection
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
Matthew B. Blaschko
LATIN
2010
Springer
15 years 7 months ago
Prize-Collecting Steiner Networks via Iterative Rounding
In this paper we design an iterative rounding approach for the classic prize-collecting Steiner forest problem and more generally the prize-collecting survivable Steiner network de...
MohammadTaghi Hajiaghayi, Arefeh A. Nasri
JMLR
2006
125views more  JMLR 2006»
15 years 1 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 3 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
109
Voted
SECON
2008
IEEE
15 years 8 months ago
Deploying Directional Sensor Networks with Guaranteed Connectivity and Coverage
Abstract—In contrast to existing work on the connected coverage problem in wireless sensor networks which assumes omnidirectional sensors with disk-like sensing range, this paper...
Xiaofeng Han, Xiang Cao, Errol L. Lloyd, Chien-Chu...