Evolutionary Tensor Train Decomposition for Hyper-Spectral Remote Sensing Images
Author:
Affiliation:
1. UC Santa Barbara,Department of Geography
2. UC Santa Barbara,Department of Electrical and Computer Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884813.pdf?arnumber=9884813
Reference24 articles.
1. Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation
2. Tensor-Train Decomposition
3. Bayesian tensorized neural networks with automatic rank selection
4. High-Dimensional Uncertainty Quantification via Tensor Regression With Rank Determination and Adaptive Sampling
5. Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition
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1. Hyperspectral-multispectral image fusion using subspace decomposition and Elastic Net Regularization;International Journal of Remote Sensing;2024-06-10
2. Tensor shape search for efficient compression of tensorized data and neural networks;Applied Soft Computing;2023-12
3. Hyperspectral Image Super-Resolution Algorithm Based on Graph Regular Tensor Ring Decomposition;Remote Sensing;2023-10-16
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