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Sang-Woon Kim

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2008
32EESang-Woon Kim: On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique. CIARP 2008: 292-300
31EESang-Woon Kim, Jian Gao: On Using Dimensionality Reduction Schemes to Optimize Dissimilarity-Based Classifiers. CIARP 2008: 309-316
30EESang-Woon Kim, B. John Oommen: A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes. Canadian Conference on AI 2008: 173-184
29EESang-Woon Kim, Jian Gao: A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers. SSPR/SPR 2008: 654-663
28EEB. John Oommen, Sang-Woon Kim, M. T. Samuel, Ole-Christoffer Granmo: A Solution to the Stochastic Point Location Problem in Metalevel Nonstationary Environments. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 466-476 (2008)
27EESang-Woon Kim, B. John Oommen: On Using Prototype Reduction Schemes to Optimize Kernel-Based Fisher Discriminant Analysis. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 564-570 (2008)
2007
26EESang-Woon Kim, Robert P. W. Duin: On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition. CIARP 2007: 466-476
25EESang-Woon Kim, Robert P. W. Duin: On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. Canadian Conference on AI 2007: 110-121
24EEB. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo: Stochastic Point Location in Non-stationary Environments and Its Applications. IEA/AIE 2007: 845-854
23EESang-Woon Kim, B. John Oommen: On using prototype reduction schemes to optimize dissimilarity-based classification. Pattern Recognition 40(11): 2946-2957 (2007)
22EEB. John Oommen, Sang-Woon Kim, Geir Horn: On the estimation of independent binomial random variables using occurrence and sequential information. Pattern Recognition 40(11): 3263-3276 (2007)
2006
21EESang-Woon Kim: On Using a Dissimilarity Representation Method to Solve the Small Sample Size Problem for Face Recognition. ACIVS 2006: 1174-1185
20EESang-Woon Kim, B. John Oommen: On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes. ICIAR (1) 2006: 15-28
19EESang-Woon Kim, Soo-Hwan Oh: On Adaptively Learning HMM-Based Classifiers Using Split-Merge Operations. IEA/AIE 2006: 668-673
18EESang-Woon Kim: Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance. PKAW 2006: 177-186
17EEB. John Oommen, Sang-Woon Kim, Geir Horn: On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables. SSPR/SPR 2006: 8-21
16EESang-Woon Kim, B. John Oommen: On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes. SSPR/SPR 2006: 826-834
15EESang-Woon Kim, B. John Oommen: Prototype reduction schemes applicable for non-stationary data sets. Pattern Recognition 39(2): 209-222 (2006)
2005
14EESang-Woon Kim, B. John Oommen: Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets. Australian Conference on Artificial Intelligence 2005: 614-623
13EESang-Woon Kim, B. John Oommen: On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 136-141 (2005)
12EESang-Woon Kim, B. John Oommen: On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 455-460 (2005)
2004
11EESang-Woon Kim, B. John Oommen: Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods. Australian Conference on Artificial Intelligence 2004: 1115-1121
10EESang-Woon Kim, Zhe-Xue Li, Yoshinao Aoki: On intelligent avatar communication using Korean, Chinese and Japanese sign-languages: an overview. ICARCV 2004: 747-752
9EESang-Woon Kim, B. John Oommen: Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(3): 1384-1397 (2004)
8EESang-Woon Kim, B. John Oommen: On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods. Pattern Recognition 37(2): 227-239 (2004)
2003
7EESang-Woon Kim, B. John Oommen: On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods. Australian Conference on Artificial Intelligence 2003: 783-795
6EESang-Woon Kim, B. John Oommen: A brief taxonomy and ranking of creative prototype reduction schemes. Pattern Anal. Appl. 6(3): 232-244 (2003)
5EESang-Woon Kim, B. John Oommen: Enhancing prototype reduction schemes with LVQ3-type algorithms. Pattern Recognition 36(5): 1083-1093 (2003)
2002
4EESang-Woon Kim, B. John Oommen: Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes. Australian Joint Conference on Artificial Intelligence 2002: 155-166
3 Sang-Woon Kim, B. John Oommen: On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes. PRIS 2002: 242-256
2EESang-Woon Kim, B. John Oommen: Recursive Prototype Reduction Schemes Applicable for Large Data Sets. SSPR/SPR 2002: 528-537
1999
1 Sang-Woon Kim, Jong-Woo Lee, Ji-Yong Oh, Yoshinao Aoki: A Comparative Study on the Sign-Language Communication Systems Between Korea and Japan Through 2D and 3D Character Models on the Internet. ICIP (4) 1999: 227-231

Coauthor Index

1Yoshinao Aoki [1] [10]
2Robert P. W. Duin [25] [26]
3Jian Gao [29] [31]
4Ole-Christoffer Granmo [24] [28]
5Geir Horn [17] [22]
6Jong-Woo Lee [1]
7Zhe-Xue Li [10]
8Ji-Yong Oh [1]
9Soo-Hwan Oh [19]
10B. John Oommen [2] [3] [4] [5] [6] [7] [8] [9] [11] [12] [13] [14] [15] [16] [17] [20] [22] [23] [24] [27] [28] [30]
11M. T. Samuel [28]
12Mathew Samuel [24]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)