Enhanced Multilinear PCA for Efficient Image Analysis and Dimensionality Reduction: Unlocking the Potential of Complex Image Data

Enhanced Multilinear PCA for Efficient Image Analysis and Dimensionality Reduction: Unlocking the Potential of Complex Image Data

This paper presents an Enhanced Multilinear Principal Component Analysis (EMPCA) algorithm, an improved variant of the traditional Multilinear Principal Component Analysis (MPCA) tailored for efficient dimensionality reduction in high-dimensional data, particularly in image analysis tasks. EMPCA int...

Full description

Saved in:
Bibliographic Details
Main Authors: Tianyu Sun, Lang He, Xi Fang, Liang Xie
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
tensor
multilinear principal component analysis
random singular value decomposition
image analysis
dimensionality reduction
Online Access:https://www.mdpi.com/2227-7390/13/3/531
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/13/3/531

Similar Items