Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold-Reference-Cited by-同舟云学术

Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold

Published:2017 Issue: Volume:108 Page:285-294
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Li Qian,Wang Zhichao,Li Gang,Cao Yanan,Xiong Gang,Guo Li

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

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4. The geometry of algorithms with orthogonality constraints;Edelman;SIAM journal on Matrix Analysis and Applications,1998

5. Hyun Joon Jung et al. Temporal modeling of crowd work quality for quality assurance in crowd-sourcing. PhD thesis, 2016.

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