Building deep networks on grassmann manifolds

• المؤلفون الرئيسيون: HUANG, Zhiwu, WU, J., VAN, Gool L.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2018
• الموضوعات: Artificial intelligence; Mapping; Matrix algebra; Network architecture; Stochastic systems; Artificial Intelligence and Robotics; OS and Networks
• الوصول للمادة أونلاين: 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

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...