Flexible multi-view semi-supervised learning with unified graph
At present, the diversity of data acquisition boosts the growth of multi-view data and the lack of label information. Since manually labeling is expensive and impractical, it is practical to enhance learning performance with a small amount of labeled data and a large amount of unlabeled data. In thi...
Saved in:
Published in | Neural networks Vol. 142; pp. 92 - 104 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Ltd
01.10.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!