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oaioai:dspace.xmu.edu.cn:2288/177075

鲁棒自适应概率加权主成分分析

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Publication date
10 May 2019
Publisher
Doi

    Abstract

    主成分分析(Principle component analysis, PCA)是处理高维数据的重要方法.近年来,基于各种范数的PCA模型得到广泛研究,用以提高PCA对噪声的鲁棒性.但是这些算法一方面没有考虑重建误差和投影数据描..

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    Last time updated on 20/11/2020

    This paper was published in Xiamen University Institutional Repository.

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