A joint Gaussian process model for active visual recognition with expertise estimation in crowdsourcing
type: Item
instance of: scholarly article
title: A joint Gaussian process model for active visual recognition with expertise estimation in crowdsourcing
zbMATH Open document ID: 1398.68450
author: Chengjiang Long
author: Gang Hua
author: Ashish Kapoor
published in: International Journal of Computer Vision
publication date: 2018-10-19T00:00:00Z
full work available at URL: pmc4764303
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 6958900
zbMATH Keywords: active learning
zbMATH Keywords: crowdsourcing
zbMATH Keywords: Gaussian process classifiers
describes a project that uses: AlexNet
describes a project that uses: L-BFGS
describes a project that uses: ImageNet
describes a project that uses: L-BFGS-B
describes a project that uses: LBFGS-B
describes a project that uses: RALF
MaRDI profile type: Publication
OpenAlex ID: W2237301560
Wikidata QID: Q36609217
cites work: Q3093326
cites work: Q3394879
cites work: Q5405127
cites work: Sequence labeling with multiple annotators
cites work: 10.1162/153244303765208377
cites work: Dynamic Bayesian Combination of Multiple Imperfect Classifiers
cites work: Q5396605
cites work: Algorithm 778: L-BFGS-B
DBLP publication ID: journals/ijcv/LongHK16
DOI: 10.1007/S11263-015-0834-9
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description: scientific article; zbMATH DE number 6958900