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OALib Journal期刊
ISSN: 2333-9721
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自适应全局局部集成判别分析
DOI: 10.13232/j.cnki.jnju.2014.04.016
Keywords: 人脸识别,维数约简,全局结构,局部结构
Abstract:
？将数据集进行合理的维数约简，对于提高一些机器学习算法的效率起着至关重要的影响。本文提出了一种自适应全局―局部集成判别分析算法（adaptiveintegratedglobalandlocaldiscriminantanalysis,aigld）。ailgd利用数据集的全局判别结构和局部判别结构，将线性判别算法（lineardiscriminantanalysis,lda）与提出的局部判别算法自适应的相结合。在uci数据库及标准人脸数据库上的识别实验证明，相比于现有算法，aigld具有更高的识别准确率及更强的鲁棒性。
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