Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization | Zendy

Adish Singla | Zendy; Sebastian Tschiatschek | Zendy; Andreas Krause | Zendy

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Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization

Author(s) -

Adish Singla,

Sebastian Tschiatschek,

Andreas Krause

Publication year - 2016

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v30i1.10207

Subject(s) - submodular set function , automatic summarization , computer science , function (biology) , maximization , set (abstract data type) , crowdsourcing , adaptive sampling , cardinality (data modeling) , image (mathematics) , pairwise comparison , sampling (signal processing) , data mining , artificial intelligence , machine learning , mathematical optimization , mathematics , computer vision , statistics , filter (signal processing) , evolutionary biology , world wide web , monte carlo method , biology , programming language

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