Joint cross-domain classification and subspace learning for unsupervised adaptation
نویسندگان
چکیده
منابع مشابه
Joint cross-domain classification and subspace learning for unsupervised adaptation
Domain adaptation aims at adapting the knowledge acquired on a source domain to a new different but related target domain. Several approaches have been proposed for classification tasks in the unsupervised scenario, where no labeled target data are available. Most of the attention has been dedicated to searching a new domain-invariant representation, leaving the definition of the prediction fun...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2015
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2015.07.009