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Volumn 41, Issue 1 SPEC. ISS., 2013, Pages 81-92

Efficient crowdsourcing for multi-class labeling

Author keywords

Crowd sourcing; Low rank Matrices; Random Graphs

Indexed keywords

AMAZON'S MECHANICAL TURKS; CROWD-SOURCING; LOW RANK APPROXIMATIONS; LOW-RANK MATRICES; MULTI-CLASS LABELING; PROBABILISTIC MODELS; RANDOM GRAPHS; WEIGHTED ADJACENCY MATRIXES;

EID: 84880241088     PISSN: 01635999     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2494232.2465761     Document Type: Conference Paper
Times cited : (142)

References (28)
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    • (2005) Random Struct. Algorithms , vol.27 , Issue.2 , pp. 251-275
    • Feige, U.1    Ofek, E.2
  • 14
    • 84880244748 scopus 로고    scopus 로고
    • March Statistics Seminar, Stanford University
    • S. Holmes. Crowd counting a crowd. March 2011, Statistics Seminar, Stanford University.
    • (2011) Crowd Counting a Crowd
    • Holmes, S.1
  • 22
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    • Eliminating spammers and ranking annotators for crowdsourced labeling tasks
    • mar
    • V. C. Raykar and S. Yu. Eliminating spammers and ranking annotators for crowdsourced labeling tasks. J. Mach. Learn. Res., 13:491-518, mar 2012.
    • (2012) J. Mach. Learn. Res. , vol.13 , pp. 491-518
    • Raykar, V.C.1    Yu, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.