A New Program Structure in Genetic Programming for Object Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{YunZhang:04:ivcnz,
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author = "Yun Zhang and Mengjie Zhang",
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title = "A New Program Structure in Genetic Programming for
Object Classification",
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booktitle = "Proceeding of Image and Vision Computing NZ
International Conference",
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year = "2004",
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editor = "David Pairman and Heather North and Stephen McNeill",
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pages = "459--465",
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month = nov,
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publisher = "Lincoln, Landcare Research",
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address = "Akaroa, New Zealand",
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keywords = "genetic algorithms, genetic programming, image
recognition, multiple class object classification,
modifying based program structure, Modi",
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URL = "http://www.mcs.vuw.ac.nz/~mengjie/papers/1052-yun-meng-ivcnz04.pdf",
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size = "6 pages",
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abstract = "genetic programming (GP) for multiclass object
classification. Instead of using the standard GP
approach where each genetic program returns just one
floating number that is then translated into different
class labels, this approach invents a new program
structure called Modi with multiple outputs. A voting
scheme is then applied to these output values to
determine the class of the input object. The approach
is examined and compared with the basic GP approach on
four multiclass object classification tasks with
increasing difficulty. The results show that the new
approach always outperforms the basic approach with
controllable proper setting.",
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notes = "Fri, 02 Jun 2006 17:03:20 +0800",
- }
Genetic Programming entries for
Yun Zhang
Mengjie Zhang
Citations