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ICIP
2005
IEEE
14 years 9 months ago
A hybrid medical image segmentation approach based on dual-front evolution model
In this paper, a hybrid medical image segmentation approach is proposed based on a dual front evolution and fast sweeping evolution. This approach is composed of two stages. In th...
Hua Li, Anthony J. Yezzi
ESTIMEDIA
2004
Springer
14 years 25 days ago
Data assignment and access scheduling exploration for multi-layer memory architectures
Abstract— This paper presents an exploration framework which performs data assignment and access scheduling exploration for applications given a multilayer memory architecture. O...
Radoslaw Szymanek, Francky Catthoor, Krzysztof Kuc...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
CVPR
2006
IEEE
14 years 9 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
13 years 10 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...