The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.004secs, Finished in 0.005secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002