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Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks
Catastrophic forgetting, which means a rapid forgetting of learned representations while learning new data/samples, is one of the main problems of deep neural networks. In this paper, we propose a novel incremental learning framework that can address the forgetting problem by learning new incoming d...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575012/ https://www.ncbi.nlm.nih.gov/pubmed/37836945 http://dx.doi.org/10.3390/s23198117 |