A contextual classifier that only requires one prototype pixel for each class
نویسندگان
چکیده
منابع مشابه
Individual feature selection in each One-versus-One classifier improves multi-class SVM performance
Multiclass One-versus-One (OvO) SVM, which is constructed by assembling a group of binary classifiers, is usually treated as a black-box. The usual Multiclass Feature Selection (MFS) algorithm chooses an identical subset of features for every OvO SVM. We question whether the standard process of applying feature selection and then constructing the multiclass classifier is best. We propose that I...
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ژورنال
عنوان ژورنال: IEEE Transactions on Nuclear Science
سال: 2002
ISSN: 0018-9499,1558-1578
DOI: 10.1109/tns.2002.1039551