Nutrition in agricultural development: The case of irrigated rice cultivation in West Kenya

ASC – Publicaties niet-programma gebonde

Isolation and characterisation of an S. pombe gene which confers 5'azacytidine resistance

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN014440 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A Comparison of Multiclass SVM Methods for Real World Natural Scenes

International audienceCategorization of natural scene images into semantically meaningful categories is a challenging problem that requires usage of multiclass classification methods. Our objective in this work is to compare multiclass SVM classification strategies for this task. We compare the approaches where a multi-class classifier is constructed by combining several binary classifiers and the approaches that consider all classes at once. The first approach is generally termed as "divide-and-combine" and the second is known as "all-in-one". Our experimental results show that all-in-one SVM outperforms the other methods