Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing

Canonical Correlation Analysis (CCA) is a classic multivariate statistical technique, which can be used to find a projection pair that maximally captures the correlation between two sets of random variables. The present paper introduces a CCA-based approach for image retrieval. It capitalizes on fea...

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Bibliographic Details
Main Authors: Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Information
Subjects:
canonical correlation analysis
chernoff information
hypothesis testing
image retrieval
multivariate gaussian distribution
Online Access:https://www.mdpi.com/2078-2489/13/3/106

Internet

https://www.mdpi.com/2078-2489/13/3/106

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