Multi-kernel SVM based star pattern recognition for Celestial Navigation

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@InProceedings{Liu:2010:ieeeICCI,

• author = "Taiyang Liu and Shicheng Wang and Zhiguo Liu and Haibo Min and Renbing Li",
• title = "Multi-kernel SVM based star pattern recognition for Celestial Navigation",
• booktitle = "9th IEEE International Conference on Cognitive Informatics (ICCI 2010)",
• year = "2010",
• month = "7-9 " # jul,
• pages = "748--753",
• 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.",
• 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",
• DOI = "doi:10.1109/COGINF.2010.5599814",
• notes = "Also known as \cite{5599814}",

}

Genetic Programming entries for Taiyang Liu Shicheng Wang Zhiguo Liu Haibo Min Renbing Li

Citations