A Two Phase Genetic Programming Approach to Object Detection

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

@InProceedings{conf/kes/ZhangAB04,

• title = "A Two Phase Genetic Programming Approach to Object Detection",
• author = "Mengjie Zhang and Peter Andreae and Urvesh Bhowan",
• booktitle = "Proceedings of 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004. Part III",
• publisher = "Springer",
• year = "2004",
• volume = "3215",
• editor = "Mircea Gh. Negoita and Robert J. Howlett and Lakhmi C. Jain",
• pages = "224--231",
• series = "Lecture Notes in Computer Science",
• address = "Wellington, New Zealand",
• month = sep # " 20-25",
• bibdate = "2004-11-29",
• bibsource = "DBLP",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-23205-2",
• DOI = "doi:10.1007/978-3-540-30134-9_32",
• size = "8 pages",
• abstract = "two innovations that improve the efficiency and effectiveness of a genetic programming approach to object detection problems. The first innovation is to break the GP search into two phases with the first phase applied to a selected subset of the training data, and a simplified fitness function. The second phase is initialised with the programs from the first phase, and uses the full set of training data to construct the final detection programs. The second innovation is to add a program size component to the fitness function. Application of this approach to three object detection problems indicated that the innovations increased both the effectiveness and the efficiency of the genetic programming search.",
• notes = "Fri, 02 Jun 2006 17:03:20 +0800",

}

Genetic Programming entries for Mengjie Zhang Peter Andreae Urvesh Bhowan

Citations