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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164492/ https://www.ncbi.nlm.nih.gov/pubmed/30149549 http://dx.doi.org/10.3390/s18092786 |