Title :
A Java collaborative interface for genetic programming applications: image analysis for scientific inquiry
Author :
Bersano-Begey, Tommaso F. ; Daida, Jason M. ; Vesecky, John F. ; Ludwig, Frank
Author_Institution :
Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Discusses several key issues involved in designing and using a Java collaborative interface for genetic programming applications over the World Wide Web. We present our implementation that has been used in a new system that assists scientists in classifying and extracting novel features in remotely sensed satellite imagery. This paper also identifies issues in developing a class library that facilitates rapid prototyping of such collaborative graphical user interfaces for genetic programming, and suggests how other researchers could benefit from them
Keywords :
Internet; feature extraction; genetic algorithms; geophysical signal processing; graphical user interfaces; groupware; image classification; object-oriented languages; object-oriented programming; remote sensing; software libraries; software prototyping; Java collaborative interface; World Wide Web; class library; feature extraction; genetic programming applications; graphical user interfaces; image analysis; image classification; rapid prototyping; remotely sensed satellite imagery; scientific inquiry; Application software; Collaboration; Collaborative tools; Computer science; Genetic programming; Image analysis; Java; Laboratories; Physics; Web sites;
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
DOI :
10.1109/ICEC.1997.592358
