Refining Fitness Functions and Optimising Training Data in GP for Object Detection
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{DBLP:conf/seal/ZhangLM06,
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author = "Mengjie Zhang and Malcolm Lett and Yuejin Ma",
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title = "Refining Fitness Functions and Optimising Training
Data in GP for Object Detection",
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booktitle = "Simulated Evolution and Learning, Proceedings 6th
International Conference, SEAL 2006",
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year = "2006",
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pages = "601--608",
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DOI = "doi:10.1007/11903697_76",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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editor = "Tzai-Der Wang and Xiaodong Li and Shu-Heng Chen and
Xufa Wang and Hussein A. Abbass and Hitoshi Iba and
Guoliang Chen and Xin Yao",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "4247",
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ISBN = "3-540-47331-9",
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address = "Hefei, China",
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month = oct # " 15-18",
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keywords = "genetic algorithms, genetic programming",
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abstract = "This paper describes an approach to the refinement of
a fitness function and the optimisation of training
data in genetic programming for object detection
particularly object localisation problems. The approach
is examined and compared with an existing fitness
function on three object detection problems of
increasing difficulty. The results suggest that the new
fitness function outperforms the old one by producing
far fewer false alarms and spending much less training
time and that some particular types of training
examples contain most of the useful information for
object detection.",
- }
Genetic Programming entries for
Mengjie Zhang
Malcolm Lett
Yuejin Ma
Citations