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A COMPARISON OF TWO STRATEGIES FOR AVOIDING NEGATIVE TRANSFER IN DOMAIN ADAPTATION BASED ON LOGISTIC REGRESSION
Transfer learning Domain Adaptation Negative Transfer Remote Sensing
2018/6/4
In this paper we deal with the problem of measuring the similarity between training and tests datasets in the context of transfer learning (TL) for image classification. TL tries to transfer knowledge...
Unsupervised Domain Adaptation for I-Vector Speaker Recognition
Domain Adaptation I-Vector Speaker Recognition
2015/3/9
Unsupervised Domain Adaptation for I-Vector Speaker Recognition.
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems
Speaker Recognition Systems Domain Adaptation
2015/3/9
Unsupervised Clustering Approaches for Domain Adaptation in Speaker Recognition Systems.
Bagging-based System Combination for Domain Adaptation
Bagging-based System Combination Domain Adaptation
2013/4/22
Domain adaptation plays an important role in multi-domain SMT. Conventional approaches usually resort to statistical classifiers, but they require annotated monolingual data in differ-ent ...
Multi-task learning is the problem of maxi-mizing the performance of a system across a number of related tasks. When applied to mul-tiple domains for the same task, it is similar to domain adaptation,...