Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions
نویسندگان
چکیده
منابع مشابه
Unsupervised Domain Adaptation with Similarity Learning
The objective of unsupervised domain adaptation is to leverage features from a labeled source domain and learn a classifier for an unlabeled target domain, with a similar but different data distribution. Most deep learning approaches to domain adaptation consist of two steps: (i) learn features that preserve a low risk on labeled samples (source domain) and (ii) make the features from both doma...
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ژورنال
عنوان ژورنال: Knowledge and Information Systems
سال: 2012
ISSN: 0219-1377,0219-3116
DOI: 10.1007/s10115-012-0516-7