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Author (up) Ariel Amato; Angel Sappa; Alicia Fornes; Felipe Lumbreras; Josep Llados edit   pdf
doi  isbn
  Title Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform Type Conference Article
  Year 2013 Publication 2nd International ACM Workshop on Crowdsourcing for Multimedia Abbreviated Journal  
  Volume Issue Pages 21-22  
  Abstract In this paper we present some conclusions about the advantages of having an efficient task formulation when a crowdsourcing platform is used. In particular we show how the task atomization and distribution can help to obtain results in an efficient way. Our proposal is based on a recursive splitting of the original task into a set of smaller and simpler tasks. As a result both more accurate and faster solutions are obtained. Our evaluation is performed on a set of ancient documents that need to be digitized.  
  Address Barcelona; October 2013  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-4503-2396-3 Medium  
  Area Expedition Conference CrowdMM  
  Notes ADAS; ISE; DAG; 600.054; 600.055; 600.045; 600.061; 602.006 Approved no  
  Call Number Admin @ si @ SLA2013 Serial 2335  
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