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Fast Approximation for Sparse Coding with Applications to Object Recognition
Sparse Coding (SC) has been widely studied and shown its superiority in the fields of signal processing, statistics, and machine learning. However, due to the high computational cost of the optimization algorithms required to compute the sparse feature, the applicability of SC to real-time object re...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7923134/ https://ncbi.nlm.nih.gov/pubmed/33669576 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21041442 |
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