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Sigeru Omatu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Dongshik Kang, Paramesran Raveendran, Sigeru Omatu
    Algorithm to Discriminate between New and Used Bills Using a Neural Network. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 1998, pp:367-372 [Conf]
  2. Hidekazu Yanagimoto, Michifumi Yoshioka, Toru Fujinaka, Sigeru Omatu
    Information Filtering System with a Grouping Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICWI, 2002, pp:716-721 [Conf]
  3. Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
    Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1074-1079 [Conf]
  4. Sigeru Omatu, Safaai Deris
    Stabilization of Inverted Pendulum by the Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:700-705 [Conf]
  5. Dongshik Kang, Sigeru Omatu
    Neuro-Classification of the New and Used Bills Using Time-Series Acoustic Data. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:169-172 [Conf]
  6. Sigeru Omatu, Yoshiyuki Kishida, Michifumi Yoshioka
    Self Tuning Neuro-PID for SIMO Systems. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1110-1113 [Conf]
  7. Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
    New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1172-1175 [Conf]
  8. Michifumi Yoshioka, Sigeru Omatu
    Signal Separation Method Using Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:753-756 [Conf]
  9. Michifumi Yoshioka, Sigeru Omatu
    Signal Separation Method Using Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:891-894 [Conf]
  10. Toru Fujinaka, Yoshiyuki Kishida, Michifumi Yoshioka, Sigeru Omatu
    Stabilization of Double Inverted Pendulum with Self-Tuning Neuro-PID. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:345-348 [Conf]
  11. Toshihisa Kosaka, Sigeru Omatu
    Classification of the Italian Liras Using the LVQ Method. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:145-148 [Conf]
  12. Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
    Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network. [Citation Graph (0, 0)][DBLP]
    IJCNN (6), 2000, pp:249-252 [Conf]
  13. Michifumi Yoshioka, Sigeru Omatu
    Independent Component Analysis Using Time Delayed Sampling. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:75-78 [Conf]
  14. Seiji Ito, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Sigeru Omatu
    The Image Recognition System by Using the FA and SNN. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:578-584 [Conf]
  15. Kensuke Mitsukura, Yasue Mitsukura, Minoru Fukumi, Sigeru Omatu
    An Age Estimation System Using the Neural Network. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1129-1134 [Conf]
  16. Fumiaki Takeda, Sigeru Omatu
    A Neuro-Money Recognition Using Optimised Masks by GA. [Citation Graph (0, 0)][DBLP]
    IEEE/Nagoya-University World Wisepersons Workshop, 1994, pp:190-201 [Conf]
  17. Safaai Deris, Sigeru Omatu, Hiroshi Ohta
    Timetable planning using the constraint-based reasoning. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 2000, v:27, n:9, pp:819-840 [Journal]
  18. Sigeru Omatu, Syunichiro Ohe, Takashi Soeda
    Fixed-Lag Smoothing Estimator for a Linear Distributed Parameter System [Citation Graph (0, 0)][DBLP]
    Information and Control, 1980, v:44, n:1, pp:1-15 [Journal]
  19. Sigeru Omatu, Yutaka Tomita, Takashi Soeda
    Fixed-Point Smoothing in Hilbert Spaces [Citation Graph (0, 0)][DBLP]
    Information and Control, 1977, v:34, n:4, pp:324-338 [Journal]
  20. Seiji Ito, Sigeru Omatu
    Keywords Specification For Images Using Sandglass-Type Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2004, v:4, n:2, pp:143-152 [Journal]
  21. Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu
    Neural Network Classification of Symmetrical and Nonsymmetrical Images Using New Moments with High Noise Tolerance. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1999, v:13, n:8, pp:1233-1250 [Journal]
  22. Ali Ahmadi, Sigeru Omatu, Toru Fujinaka, Toshihisa Kosaka
    Improvement of reliability in banknote classification using reject option and local PCA. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:168, n:1-4, pp:277-293 [Journal]
  23. Paramesran Raveendran, Ramaswamy Palaniappan, Sigeru Omatu
    Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2000, v:130, n:1-4, pp:67-84 [Journal]
  24. Ali Selamat, Sigeru Omatu
    Web page feature selection and classification using neural networks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2004, v:158, n:, pp:69-88 [Journal]
  25. Yutaka Tomita, Sigeru Omatu, Takashi Soeda
    An application of the information theory to filtering problems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1976, v:11, n:1, pp:13-27 [Journal]
  26. Dongshik Kang, Sigeru Omatu, Michifumi Yoshioka
    Fast Neuro-Classification of New and Used Bills Using Spectral Patterns of Acoustic Data. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:1, pp:12-17 [Journal]
  27. Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka
    Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:1, pp:18-23 [Journal]
  28. Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu
    New Invariant Moments for Non-Uniformly Scaled Images. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2000, v:3, n:2, pp:78-87 [Journal]
  29. Bingchen Wang, Sigeru Omatu, Toshiro Abe
    Identification of the Defective Transmission Devices Using the Wavelet Transform. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:6, pp:919-928 [Journal]
  30. Susumu Yoshimori, Atsushi Terauchi, Yoshinao Takashima, Sigeru Omatu
    Genetic relaxed iterative Fourier transform algorithm for image reconstruction from Fourier transform magnitude. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2001, v:32, n:5, pp:55-63 [Journal]

  31. Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern. [Citation Graph (, )][DBLP]

  32. Text Categorization Using Earth Mover's Distance as Similarity Measure. [Citation Graph (, )][DBLP]

  33. Compact Electronic Nose Systems Using Metal Oxide Gas Sensors for Fire Detection Systems. [Citation Graph (, )][DBLP]

  34. Electronic Nose System by Neural Networks. [Citation Graph (, )][DBLP]

  35. Camera Calibration Method Based on Maximum Likelihood Estimation. [Citation Graph (, )][DBLP]

  36. An Improved Binary Particle Swarm Optimisation for Gene Selection in Classifying Cancer Classes. [Citation Graph (, )][DBLP]

  37. Neuro-control and Its Applications to Electric Vehicle Control. [Citation Graph (, )][DBLP]

  38. An Iterative GASVM-Based Method: Gene Selection and Classification of Microarray Data. [Citation Graph (, )][DBLP]

  39. Neuro-control for single-input multi-output systems. [Citation Graph (, )][DBLP]

  40. Network-Based Intelligent Control Systems. [Citation Graph (, )][DBLP]

  41. An Approach Using Hybrid Methods to Select Informative Genes from Microarray Data for Cancer Classification. [Citation Graph (, )][DBLP]

  42. Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM. [Citation Graph (, )][DBLP]

  43. A Recursive Genetic Algorithm to Automatically Select Genes for Cancer Classification. [Citation Graph (, )][DBLP]

  44. Selecting Genes from Gene Expression Data by using an Enhancement of Binary Particle Swarm Optimization for Cancer Classification. [Citation Graph (, )][DBLP]

  45. Web Clustering Using Social Bookmarking Data with Dimension Reduction Regarding Similarity. [Citation Graph (, )][DBLP]

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