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home/Knowledge Base/CODES/Multi-modal/Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization

Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization

January 25, 2021

Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization
M. Behmanesh, P. Adibi, J. Chanussot, C. Jutten and S. M. S. Ehsani,

IEEE Transactions on Signal Processing
doi: 10.1109/TSP.2021.3053513.

https://github.com/maysambehmanesh/m-LSEJD

 

Tags:dimensionality reductionintrinsic tangent spaceLaplacian matrices joint diagonalizationmanifold learningmultimodal signal processing
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  Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection

Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks,  

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