Multi-view Data Classification with a Label-driven Auto-weighted Strategy. (arXiv:2201.00714v1 [cs.CV])

Distinguishing the importance of views has proven to be quite helpful for
semi-supervised multi-view learning models. However, existing strategies cannot
take advantage of semi-supervised information, only distinguishing the
importance of views from a data feature perspective, which is often influenced
by low-quality views then leading to poor performance. In this paper, by
establishing a link between labeled data and the importance of different views,
we propose an auto-weighted strategy to evaluate the importance of views from a
label perspective to …

arxiv classification cv data data classification strategy