Multi-Stage Optimal Component Analysis

机译：多阶段最佳成分分析

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Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object recognition applications. However, OCA often requires extensive computation for grad

机译：最佳成分分析（OCA）使用随机梯度优化过程来找到一般准则的最佳表示形式，并在对象识别应用程序中显示出良好的性能。但是，OCA通常需要对研究生进行大量计算

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《Neural Networks, The 2007 IEEE International Joint Conference on》|2007年|P.2545-2550|共6页
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Yiming Wu; Xiuwen Liu; Mio; W.;
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中图分类工业技术;
关键词
face recognition; gradient methods; image classification; image representation; object recognition; stochastic processes; face classification; linear representation updating; multistage OCA learning process; object recognition application; optimal component analys;

机译：人脸识别;梯度法;图像分类;图像表示;目标识别;随机过程;人脸分类;线性表示更新;多阶段OCA学习过程;目标识别应用;最优成分分析;

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4. Multi-Stage Optimal Component Analysis [C] . Yiming Wu, Xiuwen Liu, Mio, Neural Networks, The 2007 IEEE International Joint Conference on . 2007

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Multi-Stage Optimal Component Analysis

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