Building deep networks on grassmann manifolds

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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書目詳細資料
Main Authors:	HUANG, Zhiwu, WU, J., VAN, Gool L.
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2018
主題:	Artificial intelligence; Mapping; Matrix algebra; Network architecture; Stochastic systems Artificial Intelligence and Robotics OS and Networks
在線閱讀:	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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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