Title: Identification of MPEG-4 FDP patterns in human faces using data-mining techniques
Authors: Britos, P.
Abásolo, M.
García-Martínez, R.
Perales, F.
Citation: WSCG '2005: Posters: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS, University of West Bohemia, Plzen, Czech Republic, p. 9-10.
Issue Date: 2005
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Poster/!WSCG2005_Poster_Proceedings_Final.pdf
http://hdl.handle.net/11025/886
ISBN: 80-903100-8-7
Keywords: data mining;samoorganizované mapy
Keywords in different language: data mining;self-organizing maps
Abstract: In this paper we try to induce rules that describe patterns in human faces. We apply two different data-mining algorithms, C4.5 and C5.0, in a database of faces parameters in the MPEG4 FDP (Face Definition Parameters) form. Also we modify the database in two different ways before applying the algorithms: variable discretization of some fields; and selection of the main clusters with self-organizing maps.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2005: Posters

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