Unsupervised domain adaptation (UDA) is one of the prominent tasks of
tr...
As a fundamental problem in machine learning, dataset shift induces a
pa...
Segmentation of retinal vessel images is critical to the diagnosis of
re...
Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge from...
As a vital problem in classification-oriented transfer, unsupervised dom...
Unsupervised domain adaptation (UDA) aims at reducing the distribution
d...
Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy
...
As a powerful approach for exploratory data analysis, unsupervised clust...
Unsupervised domain adaptation is effective in leveraging rich informati...
Image set recognition has been widely applied in many practical problems...
Unsupervised domain adaptation aims to generalize the supervised model
t...
Unsupervised domain adaptation is effective in leveraging the rich
infor...
Unsupervised domain adaptation in person re-identification resorts to la...