Laplacian embedded regression for scalable manifold regularization

• Main Authors: Chen, Lin, Tsang, Ivor Wai-Hung, Xu, Dong
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99250; http://hdl.handle.net/10220/13482
• Institution: Nanyang Technological University

Semi-supervised learning (SSL), as a powerful tool to learn from a limited number of labeled data and a large number of unlabeled data, has been attracting increasing attention in the machine learning community. In particular, the manifold regularization framework has laid solid theoretical foundati...