Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks

• Main Authors: Krishnasamy, Ganesh, Paramesran, Raveendran
• Format: Article
• Published: Elsevier 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/20044/; https://doi.org/10.1016/j.image.2018.09.008
• Institution: Universiti Malaya

Recently, considerable advancement has been achieved in semisupervised multitask feature selection methods, which they exploit the shared information from multiple related tasks. Besides, these algorithms have adopted manifold learning to leverage both the unlabeled and labeled data since its labori...