Abstract
Face image retrieval has particularity under the situation that the target is unknown. If the image that match some features or fit to the one in memory wants to be find out in the human image database, the request solution must be global optimum, and does not lose the optimal one. In this paper the interactive genetic algorithm ( IGA ) jincorporating with adjust function and support vector machine ( SVM ) jis put forward to keep optimum solution from lose, speed the convergence, alleviate user fatigue, improve and raise retrieval performance.
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Shi, S., Li, JZ., Lin, L. (2007). Face Image Retrieval Method Based on Improved IGA and SVM. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_76
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DOI: https://doi.org/10.1007/978-3-540-74171-8_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74170-1
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