Multi-kernel SVM based star pattern recognition for Celestial Navigation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Liu:2010:ieeeICCI,
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author = "Taiyang Liu and Shicheng Wang and Zhiguo Liu and
Haibo Min and Renbing Li",
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title = "Multi-kernel SVM based star pattern recognition for
Celestial Navigation",
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booktitle = "9th IEEE International Conference on Cognitive
Informatics (ICCI 2010)",
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year = "2010",
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month = "7-9 " # jul,
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pages = "748--753",
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abstract = "This paper presents a combination of intelligent
learning algorithm, the Support Vector Machine, and the
recognition of star pattern in Celestial Navigation.
Considering the star pattern recognition's character,
noticing the advantages of SVM in learning competence,
the paper proposes a solution to star pattern
recognition with multi-kernel SVM. A multi-kernel
algorithm bases on Genetic Programming is designed.
Topics of multi-kernel function generation are cited in
detail, and a star pattern recognition routine
including an Indexing + recognition scheme, feature
vector definition and generation, SVM training
realisation are designed and realised.",
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keywords = "genetic algorithms, genetic programming, SVM training
realisation, celestial navigation, feature vector
definition, indexing scheme, intelligent learning
algorithm, multikernel SVM algorithm, multikernel
function generation, star pattern recognition
character, support vector machine, astronomical image
processing, image matching, image recognition,
indexing, learning (artificial intelligence),
navigation, support vector machines",
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DOI = "doi:10.1109/COGINF.2010.5599814",
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notes = "Also known as \cite{5599814}",
- }
Genetic Programming entries for
Taiyang Liu
Shicheng Wang
Zhiguo Liu
Haibo Min
Renbing Li
Citations