Pruning convolution neural networks using filter clustering based on normalized cross-correlation similarity
Despite all the recent development and success of deep neural networks, deployment of a deep model onto the resource-constrained devices still remains challenging. However, model pruning can resolve this issue for Convolutional Neural Networks (CNNs), since it is one of the most popular approaches t...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2025-04-01
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| coleção: | Journal of Information and Telecommunication |
| Assuntos: | |
| Acesso em linha: | https://www.tandfonline.com/doi/10.1080/24751839.2024.2415008 |
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