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Sang-Woon Kim: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sang-Woon Kim
    On Using a Dissimilarity Representation Method to Solve the Small Sample Size Problem for Face Recognition. [Citation Graph (0, 0)][DBLP]
    ACIVS, 2006, pp:1174-1185 [Conf]
  2. Sang-Woon Kim, B. John Oommen
    Optimizing Kernel-Based Nonlinear Subspace Methods Using Prototype Reduction Schemes. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:155-166 [Conf]
  3. Sang-Woon Kim, B. John Oommen
    On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:783-795 [Conf]
  4. Sang-Woon Kim, B. John Oommen
    Selecting Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers Using Intelligent Search Methods. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:1115-1121 [Conf]
  5. Sang-Woon Kim, B. John Oommen
    Time-Varying Prototype Reduction Schemes Applicable for Non-stationary Data Sets. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:614-623 [Conf]
  6. Sang-Woon Kim, B. John Oommen
    On Optimizing Dissimilarity-Based Classification Using Prototype Reduction Schemes. [Citation Graph (0, 0)][DBLP]
    ICIAR (1), 2006, pp:15-28 [Conf]
  7. 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. [Citation Graph (0, 0)][DBLP]
    ICIP (4), 1999, pp:227-231 [Conf]
  8. Sang-Woon Kim, Soo-Hwan Oh
    On Adaptively Learning HMM-Based Classifiers Using Split-Merge Operations. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:668-673 [Conf]
  9. Sang-Woon Kim, B. John Oommen
    On Utilizing LVQ3-Type Algorithms to Enhance Prototype Reduction Schemes. [Citation Graph (0, 0)][DBLP]
    PRIS, 2002, pp:242-256 [Conf]
  10. Sang-Woon Kim, B. John Oommen
    Recursive Prototype Reduction Schemes Applicable for Large Data Sets. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:528-537 [Conf]
  11. Sang-Woon Kim, B. John Oommen
    On Optimizing Kernel-Based Fisher Discriminant Analysis Using Prototype Reduction Schemes. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:826-834 [Conf]
  12. B. John Oommen, Sang-Woon Kim, Geir Horn
    On the Theory and Applications of Sequence Based Estimation of Independent Binomial Random Variables. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:8-21 [Conf]
  13. Sang-Woon Kim
    Optimizing Dissimilarity-Based Classifiers Using a Newly Modified Hausdorff Distance. [Citation Graph (0, 0)][DBLP]
    PKAW, 2006, pp:177-186 [Conf]
  14. Sang-Woon Kim, B. John Oommen
    A brief taxonomy and ranking of creative prototype reduction schemes. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2003, v:6, n:3, pp:232-244 [Journal]
  15. Sang-Woon Kim, B. John Oommen
    On Utilizing Search Methods to Select Subspace Dimensions for Kernel-Based Nonlinear Subspace Classifiers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:1, pp:136-141 [Journal]
  16. Sang-Woon Kim, B. John Oommen
    On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear Subspace Methods. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:3, pp:455-460 [Journal]
  17. Sang-Woon Kim, B. John Oommen
    Enhancing prototype reduction schemes with LVQ3-type algorithms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:5, pp:1083-1093 [Journal]
  18. Sang-Woon Kim, B. John Oommen
    On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:2, pp:227-239 [Journal]
  19. Sang-Woon Kim, B. John Oommen
    Prototype reduction schemes applicable for non-stationary data sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:2, pp:209-222 [Journal]
  20. Sang-Woon Kim, B. John Oommen
    Enhancing prototype reduction schemes with recursion: a method applicable for "large" data sets. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:3, pp:1384-1397 [Journal]
  21. Sang-Woon Kim, Robert P. W. Duin
    On Combining Dissimilarity-Based Classifiers to Solve the Small Sample Size Problem for Appearance-Based Face Recognition. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2007, pp:110-121 [Conf]
  22. B. John Oommen, Sang-Woon Kim, Mathew Samuel, Ole-Christoffer Granmo
    Stochastic Point Location in Non-stationary Environments and Its Applications. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2007, pp:845-854 [Conf]
  23. B. John Oommen, Sang-Woon Kim, Geir Horn
    On the estimation of independent binomial random variables using occurrence and sequential information. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:11, pp:3263-3276 [Journal]
  24. Sang-Woon Kim, B. John Oommen
    On using prototype reduction schemes to optimize dissimilarity-based classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:11, pp:2946-2957 [Journal]

  25. A Fast Computation of Inter-class Overlap Measures Using Prototype Reduction Schemes. [Citation Graph (, )][DBLP]


  26. On Optimizing Subclass Discriminant Analysis Using a Pre-clustering Technique. [Citation Graph (, )][DBLP]


  27. On Using a Pre-clustering Technique to Optimize LDA-Based Classifiers for Appearance-Based Face Recognition. [Citation Graph (, )][DBLP]


  28. On Using Dimensionality Reduction Schemes to Optimize Dissimilarity-Based Classifiers. [Citation Graph (, )][DBLP]


  29. A Combine-Correct-Combine Scheme for Optimizing Dissimilarity-Based Classifiers. [Citation Graph (, )][DBLP]


  30. A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers. [Citation Graph (, )][DBLP]


  31. An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces. [Citation Graph (, )][DBLP]


  32. On intelligent avatar communication using Korean, Chinese and Japanese sign-languages: an overview. [Citation Graph (, )][DBLP]


  33. On Reducing Dimensionality of Dissimilarity Matrices for Optimizing DBC - An Experimental Comparison. [Citation Graph (, )][DBLP]


  34. A Multiple Combining Method for Optimizing Dissimilarity-Based Classification. [Citation Graph (, )][DBLP]


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