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Generative vs. Discriminative Recognition Models for Off-Line Arabic Handwriting
The majority of handwritten word recognition strategies are constructed on learning-based generative frameworks from letter or word training samples. Theoretically, constructing recognition models through discriminative learning should be the more effective alternative. The primary goal of this rese...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6164492/ https://ncbi.nlm.nih.gov/pubmed/30149549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092786 |
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