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» Genetic Algorithms for Dynamic Test Data Generation
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VIS
2006
IEEE
117views Visualization» more  VIS 2006»
16 years 3 months ago
Transfer Function Fusing
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
WACV
2008
IEEE
15 years 8 months ago
Multi-Pose Face Detection with Asymmetric Haar Features
In this paper we present a system for multi-pose face detection. Our system presents three main contributions. First, we introduce the use of asymmetric Haar features. Asymmetric ...
Geovany A. Ramírez, Olac Fuentes
CEC
2007
IEEE
15 years 6 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
TSE
2010
120views more  TSE 2010»
14 years 9 months ago
Efficient Software Verification: Statistical Testing Using Automated Search
Statistical testing has been shown to be more efficient at detecting faults in software than other methods of dynamic testing such as random and structural testing. Test data are g...
Simon M. Poulding, John A. Clark
131
Voted
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
15 years 3 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...