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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2019
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| 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 |