A joint Gaussian process model for active visual recognition with expertise estimation in crowdsourcing

DOI10.1007/S11263-015-0834-9zbMath1398.68450DBLPjournals/ijcv/LongHK16OpenAlexW2237301560WikidataQ36609217 ScholiaQ36609217MaRDI QIDQ1800023

Gang Hua, Ashish Kapoor, Chengjiang Long

Publication date: 19 October 2018

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4764303

zbMATH Keywords

active learningcrowdsourcingGaussian process classifiers

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Related Items (1)

A joint Gaussian process model for active visual recognition with expertise estimation in crowdsourcing

Uses Software

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• L-BFGS
• LBFGS-B
• ImageNet
• RALF
• AlexNet

Cites Work

• A joint Gaussian process model for active visual recognition with expertise estimation in crowdsourcing
• Sequence labeling with multiple annotators
• Dynamic Bayesian Combination of Multiple Imperfect Classifiers
• 10.1162/153244303765208377
• Algorithm 778: L-BFGS-B
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

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