Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction-Reference-Cited by-同舟云学术

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Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction

Published:2022-03-28 Issue:4 Volume:31 Page:1127-1140
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Shi Haolun¹,Yang Yuping¹,Wang Liangliang¹^ORCID,Ma Da²³,Beg Mirza Faisal³,Pei Jian⁴,Cao Jiguo¹^ORCID

Affiliation:

1. Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada;;

2. School of Medicine, Wake Forest University, Winston-Salem, NC;;

3. School of Engineering, Simon Fraser University, Burnaby, Canada;;

4. School of Computing Science, Simon Fraser University, Burnaby, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2022.2035738

Reference33 articles.

1. Multilevel sparse functional principal component analysis

2. Functional principal component analysis of glomerular filtration rate curves after kidney transplant

3. AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction

4. Generalized multilevel function-on-scalar regression and principal component analysis

5. Properties of principal component methods for functional and longitudinal data analysis

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