ITERATIVE RE-WEIGHTED INSTANCE TRANSFER FOR DOMAIN ADAPTATION
نویسندگان
چکیده
منابع مشابه
Iterative Re-weighted Instance Transfer for Domain Adaptation
Domain adaptation techniques in transfer learning try to reduce the amount of training data required for classification by adapting a classifier trained on samples from a source domain to a new data set (target domain) where the features may have different distributions. In this paper, we propose a new technique for domain adaptation based on logistic regression. Starting with a classifier trai...
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ژورنال
عنوان ژورنال: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9050
DOI: 10.5194/isprsannals-iii-3-339-2016