Image classification with parallel KPCA‐PCA network

Principal component analysis (PCA) is widely used in computer vision for object detection. In this article, we take advantage of the algorithms of PCA and kernel principal component analysis (KPCA) to construct a deep learning model named parallel KPCA‐PCA network (PK‐PCANet). In the proposed model,...

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Bibliographic Details

Published in:	Computational intelligence Vol. 38; no. 2; pp. 397 - 415
Main Authors:	Yang, Feng, Ma, Zheng, Xie, Mei
Format:	Journal Article
Language:	English
Published:	Hoboken Blackwell Publishing Ltd 01.04.2022
Subjects:	Algorithms Computer vision Deep learning Face recognition Feature extraction Image classification Machine learning Object recognition PCANet PK‐PCANet principal component analysis Principal components analysis Visual tasks
ISSN:	0824-7935, 1467-8640
Online Access:	Get full text
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