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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Bibliographic Details
Main Authors: HUANG, Zhiwu, WU, J., VAN, Gool L.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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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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