Sparse, Robust and Discriminative Representation by Supervised Regularized Auto-encoder
Recent researches have determined that regularized auto-encoders can provide a good representation of data which improves the performance of data classification. These type of auto-encoders which are usually over-complete, provide a representation of data that has some degree of sparsity and is robu...
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Iran Telecom Research Center
2019-06-01
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| Series: | International Journal of Information and Communication Technology Research |
| Assuntos: | |
| Acceso en liña: | http://ijict.itrc.ac.ir/article-1-304-en.html |
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