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	Author	Ariel Amato; Angel Sappa; Alicia Fornes; Felipe Lumbreras; Josep Llados
	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
	Keywords
	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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