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Haruhisa Takahashi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi
    The Worst-Case Time Complexity for Generating All Maximal Cliques. [Citation Graph (0, 0)][DBLP]
    COCOON, 2004, pp:161-170 [Conf]
  2. Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
    A New Model for Large Margin Classifiers by Second Order Cone Programming. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2004, pp:877-882 [Conf]
  3. Takuya Tsunekawa, Kazuhiro Hotta, Haruhisa Takahashi
    Lipreading Using Recurrent Neural Prediction Model. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2004, pp:405-412 [Conf]
  4. Rameswar Debnath, N. Takahide, Haruhisa Takahashi
    A Fast Learning Decision-Based SVM for Multi-Class Problems. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2003, pp:128-134 [Conf]
  5. Rameswar Debnath, Haruhisa Takahashi
    Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2002, pp:293-302 [Conf]
  6. Haruhisa Takahashi
    The Variational Correlation Network for Object Detection. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:314-320 [Conf]
  7. Rameswar Debnath, Masakazu Muramatsu, Haruhisa Takahashi
    An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:23, n:3, pp:219-239 [Journal]
  8. Hanzhong Gu, Haruhisa Takahashi
    Exponential or Polynomial Learning Curves? Case-Based Studies. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:4, pp:795-809 [Journal]
  9. Hanzhong Gu, Haruhisa Takahashi
    Estimating Learning Curves of Concept Learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1997, v:10, n:6, pp:1089-1102 [Journal]
  10. Haruhisa Takahashi, Etsuji Tomita, Tsutomu Kawabata
    Separability of internal representations in multilayer perceptrons with application to learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:5, pp:689-703 [Journal]
  11. Rameswar Debnath, N. Takahide, Haruhisa Takahashi
    A decision based one-against-one method for multi-class support vector machine. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2004, v:7, n:2, pp:164-175 [Journal]
  12. Hanzhong Gu, Haruhisa Takahashi
    How Bad May Learning Curves Be?. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:10, pp:1155-1167 [Journal]
  13. Toru Uchiyama, Haruhisa Takahashi
    Speech recognition using recurrent neural prediction model. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2003, v:34, n:2, pp:100-107 [Journal]
  14. Etsuji Tomita, Akira Tanaka, Haruhisa Takahashi
    The worst-case time complexity for generating all maximal cliques and computational experiments. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2006, v:363, n:1, pp:28-42 [Journal]

  15. Estimation of Object Position Based on Color and Shape Contextual Information. [Citation Graph (, )][DBLP]


  16. Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features. [Citation Graph (, )][DBLP]


  17. An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape. [Citation Graph (, )][DBLP]


  18. Automatic Particle Detection and Counting by One-Class SVM from Microscope Image. [Citation Graph (, )][DBLP]


  19. SVM Training: Second-Order Cone Programming versus Quadratic Programming. [Citation Graph (, )][DBLP]


  20. Face Recognition Based on Normalization and the Phase Spectrum of the Local Part of an Image. [Citation Graph (, )][DBLP]


  21. Action Recognition Based on Non-parametric Probability Density Function Estimation. [Citation Graph (, )][DBLP]


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