Unified locally linear classifiers with diversity-promoting anchor points

• Main Authors: LIU, Chenghao, ZHANG, Teng, ZHAO, Peilin, SUN, Jianling, HOI, Steven C. H.
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2018
• 主題: Classification; Manifold Learning; Support Vector Machine; Databases and Information Systems; Numerical Analysis and Scientific Computing
• 在線閱讀: 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

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...