The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.004secs, Finished in 0.006secs
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
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002