High Dimensional Data Classification Approach with Deep Learning and Tucker Decomposition

Author:

Tran Ngoc Quoc1ORCID,Pham Minh Hoang2ORCID,Son Tran Thai2ORCID

Affiliation:

1. University of Science, John Von Neumann Institute, VNU-HCM, Viet Nam

2. University of Science, VNU-HCM, Viet Nam

Publisher

ACM

Reference35 articles.

1. Hyperspectral image, video compression using sparse tucker tensor decomposition

2. Carlos Esteves . 2020. Learning Equivariant Representations. CoRR abs/2012.02771 ( 2020 ). arXiv:2012.02771https://arxiv.org/abs/2012.02771 Carlos Esteves. 2020. Learning Equivariant Representations. CoRR abs/2012.02771 (2020). arXiv:2012.02771https://arxiv.org/abs/2012.02771

3. GhostNet: More Features From Cheap Operations

4. Song Han , Huizi Mao , and William  J Dally . 2015. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. arXiv preprint arXiv:1510.00149 ( 2015 ). Song Han, Huizi Mao, and William J Dally. 2015. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. arXiv preprint arXiv:1510.00149 (2015).

5. Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

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