Learning a minimum similarity projection and lowest correlation representation for image classification-Reference-Cited by-同舟云学术

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Learning a minimum similarity projection and lowest correlation representation for image classification

Published:2020-02-19 Issue:4 Volume:14 Page:782-788
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Lu Shan¹,Zhang Jun¹,Gao Ying¹

Affiliation:

1. Information College, Capital University of Economics and BusinessBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0683

Reference35 articles.

1. Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

2. Inter-class sparsity based discriminative least square regression

3. Gujrati character recognition using weighted k-NN and Mean χ 2 distance measure

4. Representative vector machines: a unified framework for classical classifiers;Gui J.;IEEE Trans. Cybern.,2015

5. Learning Deep and Wide: A Spectral Method for Learning Deep Networks

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