A Smoothed Matrix Multivariate Elliptical Distribution-Based Projection Method for Feature Extraction

Big data has the traits such as “the curse of dimensionality,” high storage cost, and heavy computation burden. Self-representation-based feature extraction methods cannot effectively deal with the image-level structural noise in the data, so how to character a better relationship of reconstruction...

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Detalles Bibliográficos
Autores principales: Qiu, Hong, Wang, Renfang, Sun, Dechao, Liu, Xinwei, Zhang, Liang, Liu, Yunpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546659/
https://www.ncbi.nlm.nih.gov/pubmed/36211002
http://dx.doi.org/10.1155/2022/2551137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546659/
https://www.ncbi.nlm.nih.gov/pubmed/36211002
http://dx.doi.org/10.1155/2022/2551137

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