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118
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ICIP
2001
IEEE
16 years 3 months ago
Improving a genetic algorithm segmentation by means of a fast edge detection technique
Thispaper presents a new hybrid range image segmentation approach. Two separate techniques are applied consecutively. First, iin edge based segmentation technique extracts the edg...
Angel Domingo Sappa, Vitoantonio Bevilacqua, Miche...
143
Voted
GECCO
2000
Springer
250views Optimization» more  GECCO 2000»
15 years 5 months ago
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...
Shinn-Ying Ho, Kual-Zheng Lee
EUROPAR
2004
Springer
15 years 7 months ago
Task-Queue Based Hybrid Parallelism: A Case Study
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Karl Fürlinger, Olaf Schenk, Michael Hagemann
125
Voted
AUSAI
2004
Springer
15 years 7 months ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
FCCM
2006
IEEE
101views VLSI» more  FCCM 2006»
15 years 8 months ago
A Type Architecture for Hybrid Micro-Parallel Computers
Recently, platform FPGAs that integrate sequential processors with a spatial fabric have become prevalent. While these hybrid architectures ease the burden of integrating sequenti...
Benjamin Ylvisaker, Brian Van Essen, Carl Ebeling