Unsupervised domain adaptation via representation learning and adaptive classifier learning

Marzieh Gheisari; Mahdieh Soleymani Baghshah

doi:10.1016/j.neucom.2015.03.020

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JOURNAL ARTICLE

Unsupervised domain adaptation via representation learning and adaptive classifier learning

Marzieh Gheisari Mahdieh Soleymani Baghshah

Year: 2015 Journal: Neurocomputing Vol: 165 Pages: 300-311 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2015.03.020

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Keywords:

Domain adaptation Computer science Classifier (UML) Artificial intelligence Test data Machine learning Pattern recognition (psychology) Labeled data Domain (mathematical analysis) Representation (politics) Mathematics

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised domain adaptation via representation learning and adaptive classifier learning

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