2DTPCA: A New Framework for Multilinear Principal Component Analysis

Ozdemir, Cagri; Hoover, Randy C.; Caudle, Kyle

doi:10.1109/ICIP42928.2021.9506729

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Citation Details

2DTPCA: A New Framework for Multilinear Principal Component Analysis

Award ID(s):: 2007367

PAR ID:: 10342120

Author(s) / Creator(s):: Ozdemir, Cagri; Hoover, Randy C.; Caudle, Kyle

Date Published:: 2021-09-19

Journal Name:: IEEE International Conference on Image Processing

Page Range / eLocation ID:: 344 to 348

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Conference Paper:
https://doi.org/10.1109/ICIP42928.2021.9506729

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