Adaptive Quasiconformal Kernel Principle Component Analysis for MSTAR SAR Recognition
نویسندگان
چکیده
منابع مشابه
Adaptive quasiconformal kernel discriminant analysis
Kernel discriminant analysis (KDA) is effective to extract nonlinear discriminative features of input samples using the kernel trick. However, the conventional KDA algorithm endures the kernel selection which has significant impact on the performances of KDA. In order to overcome this limitation, a novel nonlinear feature extraction method called adaptive quasiconformal kernel discriminant anal...
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ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2012
ISSN: 1812-5638
DOI: 10.3923/itj.2012.1751.1757