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ICIP
2002
IEEE
16 years 8 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...
177
Voted
ICPP
2005
IEEE
16 years 1 days ago
An ACO-Based Approach for Scheduling Task Graphs with Communication Costs
In this paper we introduce a new algorithm for computing near optimal schedules for task graph problems. In contrast to conventional approaches for solving those scheduling proble...
Markus Bank, Udo Hönig, Wolfram Schiffmann
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 12 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont
166
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 12 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
148
Voted
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 12 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood