Semi-supervised sparse feature selection based on multi-view Laplacian regularization

Published 2015 View Full Article

Authors

Keywords

Multi-view learning, Laplacian regularization, Semi-supervised learning, Sparse feature selection

Journal

IMAGE AND VISION COMPUTING

Volume 41, Issue -, Pages 1-10

Publisher

Elsevier BV

Online

2015-06-24

DOI

10.1016/j.imavis.2015.06.006

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now