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Automatic DivideandConquer Using Populations and Ensembles
Intelligent Target Recognition Based on Hybrid Support Vector Machine
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adaptive agent analysis anchorperson antibody application Artiﬁcial association feature classiﬁcation clonal coefﬁcients components Computer convergence crossover data set database deﬁned deﬁnition denoising denotes detection dimensionality distribution efﬁcient encoding estimation evaluation evolutionary algorithm experiment experimental results feature extraction feature space ﬁeld Figure ﬁlter ﬁnd ﬁrst ﬁtness frame frequency function fuzzy genetic algorithm IEEE IEEE Trans image denoising image retrieval image segmentation infonnation input interface IPFGS Isomap kemel key frames knowledge layer leaming matrix method mining multimedia mutation negotiation model neural network node noise nonlinear object operator OSPF paper parameters pattem performance PFGS pixel population proposed PSNR query recognition region representation samples satisﬁes selection shot signal simulation solution spatial speciﬁc strategy structure support vector machine technique texture feature threshold time-frequency representation watermark wavelet transform Web Mining weight Xidian University