Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation

Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation

This paper deals with the problem of visual domain adaptation in which source domain labeled data is available for training, but the target domain unlabeled data is available for testing. Many recent domain adaptation methods merely concentrate on extracting domain-invariant features via minimizing...

Full description

Bibliographic Details
Main Authors: Rakesh Kumar Sanodiya, Leehter Yao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Unsupervised discriminant analysis
domain adaptation
classification
transfer learning
subspace learning
feature learning
Online Access:https://ieeexplore.ieee.org/document/9247150/

Internet

https://ieeexplore.ieee.org/document/9247150/

Similar Items