Denoising Latent Subspace Based Subspace Learning for Image Classification

Denoising Latent Subspace Based Subspace Learning for Image Classification

To solve the problem that the performance of discriminant least squares regression (DLSR) is not robust to image noise in image classification, a denoising latent subspace based subspace learning (DLSSL) image classification algorithm is proposed. This method is different from the existing classific...

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Bibliographic Details
Main Author: YANG Zhangjing, WANG Wenbo, HUANG Pu, ZHANG Fanlong
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-12-01
Series:Jisuanji kexue yu tansuo
Subjects:
autoencoder;
subspace learning;
low-rank;
denoising;
image classification
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2986.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2986.shtml

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