- 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.
- "Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding" by Song Han, Huizi Mao, and William J. Dally.
- "Model Compression" by Rich Caruana, Steve Lawrence, and Lee Giles.
- 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
Need the reference for a Mathworks article by, Antoni Woss considering neural network compression topic.
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Nader Rihan
el 21 de Dic. de 2024 a las 20:22
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.
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Hitesh
el 30 de Dic. de 2024 a las 5:57
Hi Nader,
You need to explore the below references for more deeper knowledge of Neural Network compression using Network Projection:
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