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Masaru Shimbo: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mineichi Kudo, Hideyuki Imai, Masaru Shimbo
    A Histogram-Based Classifier on Overlapped Bins. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2029-2033 [Conf]
  2. Naoto Abe, Mineichi Kudo, Masaru Shimbo
    Classifier-Independent Feature Selection Based on Non-parametric Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:470-479 [Conf]
  3. Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimbo
    A Divergence Criterion for Classifier-Independent Feature Selection. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:668-676 [Conf]
  4. Mineichi Kudo, Petr Somol, Pavel Pudil, Masaru Shimbo, Jack Sklansky
    Comparison of Classifier-Specific Feature Selection Algorithms. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:677-686 [Conf]
  5. M. Sato, Mineichi Kudo, Jun Toyama, Masaru Shimbo
    Feature Selection For a Nonlinear Classifier. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:555-563 [Conf]
  6. Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
    Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:511-520 [Conf]
  7. Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
    MDL-Based Selection of the Number of Components in Mixture Models for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:831-836 [Conf]
  8. Mineichi Kudo, Y. Iida, Masaru Shimbo
    Syntactic pattern analysis of 5'-splice site sequences of mRNA precursors in higher eukaryote genes. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1987, v:3, n:4, pp:319-324 [Journal]
  9. Mineichi Kudo, S. Kitamura-Abe, Masaru Shimbo, Y. Lida
    Analysis of context of 5'-splice site sequences in mammalian mRNA precursors by subclass method. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1992, v:8, n:4, pp:367-376 [Journal]
  10. Tetsuya Murai, Hideo Kanemitsu, Masaru Shimbo
    Fuzzy Sets and Binary-Proximity-Based Rough Sets. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:104, n:1-2, pp:49-80 [Journal]
  11. Tetsuya Murai, Masaaki Miyakoshi, Masaru Shimbo
    A modeling of search oriented thesaurus use based on multivalued logical inference. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1988, v:45, n:2, pp:185-212 [Journal]
  12. Hiroki Hayashi, Mineichi Kudo, Jun Toyama, Masaru Shimbo
    Fast Labelling of Natural Scenes Using Enhanced Knowledge. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2001, v:4, n:1, pp:20-27 [Journal]
  13. Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimbo
    Classifier-independent feature selection on the basis of divergence criterion. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2006, v:9, n:2-3, pp:127-137 [Journal]
  14. Mineichi Kudo, Masaru Shimbo
    Efficient regular grammatical inference techniques by the use of partial similarities and their logical relationships. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1988, v:21, n:4, pp:401-409 [Journal]
  15. Mineichi Kudo, Masaru Shimbo
    Feature selection based on the structural indices of categories. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1993, v:26, n:6, pp:891-901 [Journal]
  16. Mineichi Kudo, Shinichi Yanagi, Masaru Shimbo
    Construction of class regions by a randomized algorithm: a randomized subclass method. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:4, pp:581-588 [Journal]
  17. Hiroshi Tenmoto, Mineichi Kudo, Masaru Shimbo
    Piecewise linear classifiers with an appropriate number of hyperplanes. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1998, v:31, n:11, pp:1627-1634 [Journal]
  18. Mineichi Kudo, Koji Mizukami, Yuji Nakamura, Masaru Shimbo
    Realization of membership quiries in character recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:1, pp:77-82 [Journal]
  19. Mineichi Kudo, Naoto Masuyama, Jun Toyama, Masaru Shimbo
    Simple termination conditions for k-nearest neighbor method. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:9-10, pp:1203-1213 [Journal]
  20. Mineichi Kudo, Yoichiro Torii, Yasukuni Mori, Masaru Shimbo
    Approximation of class regions by quasi convex hulls. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:9, pp:777-786 [Journal]
  21. Mineichi Kudo, Jun Toyama, Masaru Shimbo
    Multidimensional curve classification using passing-through regions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1103-1111 [Journal]
  22. Yoshinori Yanagihara, Masanori Kawakami, Mineichi Kudo, Jun Toyama, Masaru Shimbo
    A two-channel coding of images using spline surfaces. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2001, v:32, n:6, pp:13-20 [Journal]

  23. Estimation of class regions in feature space using rough set theory. [Citation Graph (, )][DBLP]

  24. Determination of the number of components based on class separability in mixture-based classifiers. [Citation Graph (, )][DBLP]

  25. Estimation of velocity vectors from a video stream using discontinuity of optical flow. [Citation Graph (, )][DBLP]

  26. Termination conditions for a fast k-nearest neighbor method. [Citation Graph (, )][DBLP]

  27. Geometry reconstruction of urban scenes by tracking vertical edges. [Citation Graph (, )][DBLP]

  28. Effective sampling points for two-channel spline image coding. [Citation Graph (, )][DBLP]

  29. Tabu search for solving optimization problems on Hopfield neural networks. [Citation Graph (, )][DBLP]

  30. Semantic field: introduction. [Citation Graph (, )][DBLP]

  31. Semantic field and accessibility relations. [Citation Graph (, )][DBLP]

  32. Uncertainty and the semantic field. [Citation Graph (, )][DBLP]

  33. Degrees of significance and generation of an accessibility relation. [Citation Graph (, )][DBLP]

  34. Appropriate initial component densities of mixture modeling for pattern recognition. [Citation Graph (, )][DBLP]

  35. Polynomial-sample learnability about distance-0 and 1 DNF formulas. [Citation Graph (, )][DBLP]

  36. Generation of accessible worlds under available information. [Citation Graph (, )][DBLP]

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