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MVA
1996

Inductive Learning of Primitive Shape Features of Closed Contours

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Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns by a segmentation method based on genetic algorithm. Merging is applied to selected primitive candidates to filter out their redundancy as similarity and inclusion. Experimental results with map figures are shown.
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1996
Where MVA
Authors Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
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