Need the reference for a Mathworks article by, Antoni Woss considering neural network compression topic.

7 vues (au cours des 30 derniers jours)
There is an article created by Antoni Woss for network compression via projection in the attached link. Although I still have questions without an answer. So I need the reference for this MATLAB article to read further. I can't find the reference. On the other hand, MATLAB presents an example and function for this topic again without any referring to a paper or a book. What I want is just the reference as I need to dig deep into the basics.
  1 commentaire
Saurav
Saurav le 10 Jan 2025
If you need more information on this issue, I suggest creating a technical support case. You can do so by visiting the following link: https://www.mathworks.com/support/contact_us.html

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Réponses (2)

Hitesh
Hitesh le 30 Déc 2024
Hi Nader,
You need to explore the below references for more deeper knowledge of Neural Network compression using Network Projection:
  1. M. Kudo, J. Toyama, and M. Shimbo. "Multidimensional Curve Classification Using Passing-Through Regions." Pattern Recognition Letters. Vol. 20, No. 11–13, pages 1103–1111.
  2. "Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding" by Song Han, Huizi Mao, and William J. Dally.
  3. "Model Compression" by Rich Caruana, Steve Lawrence, and Lee Giles.
  4. Optimal Brain Projection: Neural Network Compression using Mixtures of Subspaces Daniel Garcia sorvisto@stanford.edu Roberto Garcia (not in class) robgarct@stanford.edu Andri Vidarsson (not in class) andriv@stanford.edu

Antoni Woss
Antoni Woss le 14 Jan 2025
Hi Nader – Thank you for your interest in the article on "Compressing Neural Networks Using Network Projection." The linked article serves as the primary reference for this technique. If you have specific questions or need further clarification, please feel free to ask them here. I'll do my best to provide answers or direct you to additional resources that might be helpful.

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