Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors-Reference-Cited by-同舟云学术

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Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors

Published:2021-12 Issue: Volume: Page:
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Container-title:2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Ozdemir Cagri,Hoover Randy C.,Caudle Kyle

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9679834/9679948/09680198.pdf?arnumber=9680198

Reference40 articles.

1. Columbia object image library (COIL-100);nene;Technical Report CUCS-006-96 Tech Rep CUCS-00696,1996

2. The haar-wavelet transform in digital image processing: its status and achievements;porwik;Machine Graphics and Vision,2004

3. Zur Theorie der orthogonalen Funktionensysteme

4. Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition

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