A Riemannian network for SPD matrix learning
Symmetric Positive Definite (SPD) matrix learning methods have become popular in many image and video processing tasks, thanks to their ability to learn appropriate statistical representations while respecting Riemannian geometry of underlying SPD manifolds. In this paper we build a Riemannian netwo...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2017
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/6542 https://ink.library.smu.edu.sg/context/sis_research/article/7545/viewcontent/A_riemannian_network_for_SPD_matrix_learning.pdf |
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| Institution: | Singapore Management University |
| Language: | English |