A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourc...
A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
We present a noise resilient probabilistic model for active learning of a Gaussian process classifier from crowds, i.e., a set of noisy labelers. It explicitly models both the overall label noise and the expertise level of each individual labeler with two levels of flip models. Expectation propagation is adopted for efficient approximate Bayesian i...
Alternative Titles
Full title
A Joint Gaussian Process Model for Active Visual Recognition with Expertise Estimation in Crowdsourcing
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4764303
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4764303
Other Identifiers
ISSN
0920-5691
E-ISSN
1573-1405
DOI
10.1007/s11263-015-0834-9
