Unified locally linear classifiers with diversity-promoting anchor points

• Main Authors: LIU, Chenghao, ZHANG, Teng, ZHAO, Peilin, SUN, Jianling, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Classification; Manifold Learning; Support Vector Machine; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4183; https://ink.library.smu.edu.sg/context/sis_research/article/5186/viewcontent/17037_76708_1_PB.pdf
• Institution: Singapore Management University

Locally Linear Support Vector Machine (LLSVM) has been actively used in classification tasks due to its capability of classifying nonlinear patterns. However, existing LLSVM suffers from two drawbacks: (1) a particular and appropriate regularization for LLSVM has not yet been addressed; (2) it usual...