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Local structure preserving sparse coding for infrared target recognition
Sparse coding performs well in image classification. However, robust target recognition requires a lot of comprehensive template images and the sparse learning process is complex. We incorporate sparsity into a template matching concept to construct a local sparse structure matching (LSSM) model for...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5360252/ https://ncbi.nlm.nih.gov/pubmed/28323824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0173613 |
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