scholarly journals Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 49967-49978 ◽  
Author(s):  
Xiao Jin ◽  
Yuting Su ◽  
Liang Zou ◽  
Yongwei Wang ◽  
Peiguang Jing ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Image Inpainting ◽  
Low Rank ◽  
Rank Constraints

Cross-spectral palmprint recognition with low-rank canonical correlation analysis

2019 ◽  
Vol 79 (45-46) ◽  
pp. 33771-33792 ◽  
Author(s):  
Qi Zhu ◽  
Nuoya Xu ◽  
Zheng Zhang ◽  
Donghai Guan ◽  
Ran Wang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Low Rank ◽  
Palmprint Recognition

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

Sign in / Sign up

Export Citation Format

Share Document