Ontology type: schema:Chapter
2009
AUTHORS ABSTRACTA novel Matrix Modular Support Vector Machine(MMSVM) classifier is proposed to partition a visual concept problem into many easier two-class problems.This MMSVM shows significant detection improvements on the ImageClef2008 VCDT task, with a relative reduction of 15% of the classification error, compared with usual SVMs.
PAGES640-643
Evaluating Systems for Multilingual and Multimodal Information Access
ISBN
978-3-642-04446-5
978-3-642-04447-2
http://scigraph.springernature.com/pub.10.1007/978-3-642-04447-2_80
DOIhttp://dx.doi.org/10.1007/978-3-642-04447-2_80
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