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Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation

An image object recognition approach based on deep features and adaptive weighted joint sparse representation (D-AJSR) is proposed in this paper. D-AJSR is a data-lightweight classification framework, which can classify and recognize objects well with few training samples. In D-AJSR, the convolution...

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Detalles Bibliográficos
Autores principales: Wei, Wang, Can, Tang, Xin, Wang, Yanhong, Luo, Yongle, Hu, Ji, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906836/
https://www.ncbi.nlm.nih.gov/pubmed/31871442
http://dx.doi.org/10.1155/2019/8258275