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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المؤلفون الرئيسيون: | , |
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التنسيق: | text |
اللغة: | English |
منشور في: |
Institutional Knowledge at Singapore Management University
2017
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الموضوعات: | |
الوصول للمادة أونلاين: | 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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