Multiclass Object Classification Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@TechReport{vuw-CS-TR-04-2,

• author = "Mengjie Zhang and Will Smart",
• title = "Multiclass Object Classification Using Genetic Programming",
• institution = "Computer Science, Victoria University of Wellington",
• year = "2004",
• number = "CS-TR-04-2",
• address = "New Zealand",
• keywords = "genetic algorithms, genetic programming, dynamic class boundary determination, object recognition",
• URL = "http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-04-2.abs.html",
• URL = "http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-04/CS-TR-04-2.pdf",
• abstract = "genetic programming for multi-class object classification problems. Rather than using fixed static thresholds as boundaries to distinguish between different classes, this approach introduces two methods of classification where the boundaries between different classes can be dynamically determined during the evolutionary process. The two methods are centred dynamic class boundary determination and slotted dynamic class boundary determination. The two methods are tested on four object classification problems of increasing difficulty and are compared with the commonly used static class boundary method. The results suggest that, while the static class boundary method works well on relatively easy object classification problems, the two dynamic class boundary determination methods outperform the static method for more difficult, multiple class object classification problems.",
• size = "15 pages",

}

Genetic Programming entries for Mengjie Zhang Will Smart

Citations