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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Detalles Bibliográficos

Autores principales:	Kangdi Shi, Xiaohong Liu, Muhammad Alrabeiah, Xintong Guo, Jie Lin, Huan Liu, Jun Chen
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-02-01
Colección:	Information
Materias:	canonical correlation analysis chernoff information hypothesis testing image retrieval multivariate gaussian distribution
Acceso en línea:	https://www.mdpi.com/2078-2489/13/3/106
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