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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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| Publicado no: | Comput Intell Neurosci |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6906836/ https://ncbi.nlm.nih.gov/pubmed/31871442 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/8258275 |
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