Building deep networks on grassmann manifolds
Learning representations on Grassmann manifolds is popular in quite a few visual recognition tasks. In order to enable deep learning on Grassmann manifolds, this paper proposes a deep network architecture by generalizing the Euclidean network paradigm to Grassmann manifolds. In particular, we design...
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Main Authors: | HUANG, Zhiwu, WU, J., VAN, Gool L. |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6544 https://ink.library.smu.edu.sg/context/sis_research/article/7547/viewcontent/Building_Deep_Networks.pdf |
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Institution: | Singapore Management University |
Language: | English |
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