A Two Phase Genetic Programming Approach to Object Detection
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{conf/kes/ZhangAB04,
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title = "A Two Phase Genetic Programming Approach to Object
Detection",
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author = "Mengjie Zhang and Peter Andreae and Urvesh Bhowan",
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booktitle = "Proceedings of 8th International Conference on
Knowledge-Based Intelligent Information and Engineering
Systems, KES 2004. Part III",
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publisher = "Springer",
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year = "2004",
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volume = "3215",
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editor = "Mircea Gh. Negoita and Robert J. Howlett and
Lakhmi C. Jain",
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pages = "224--231",
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series = "Lecture Notes in Computer Science",
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address = "Wellington, New Zealand",
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month = sep # " 20-25",
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bibdate = "2004-11-29",
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bibsource = "DBLP",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-23205-2",
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DOI = "doi:10.1007/978-3-540-30134-9_32",
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size = "8 pages",
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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.",
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notes = "Fri, 02 Jun 2006 17:03:20 +0800",
- }
Genetic Programming entries for
Mengjie Zhang
Peter Andreae
Urvesh Bhowan
Citations