The following publications are possibly variants of this publication:
- Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction SchemesSang-Woon Kim, B. John Oommen. ausai 2002: 155-166 [doi]
- On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace MethodsSang-Woon Kim, B. John Oommen. pami, 27(3):455-460, 2005. [doi]
- On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace MethodsSang-Woon Kim, B. John Oommen. ausai 2003: 783-795 [doi]
- On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant AnalysisSang-Woon Kim, B. John Oommen. tsmc, 38(2):564-570, 2008. [doi]
- On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction SchemesSang-Woon Kim, B. John Oommen. gacm 2006: 826-834 [doi]
- On using prototype reduction schemes to optimize dissimilarity-based classificationSang-Woon Kim, B. John Oommen. PR, 40(11):2946-2957, 2007. [doi]
- On Optimizing Dissimilarity-Based Classification Using Prototype Reduction SchemesSang-Woon Kim, B. John Oommen. iciar 2006: 15-28 [doi]
- On using prototype reduction schemes to optimize locally linear reconstruction methodsSang-Woon Kim, B. John Oommen. PR, 45(1):498-511, 2012. [doi]