Statistical Pattern Recognition Theory




List of Publications(with review)

(a)Feature Selection and Extraction

  1. Y. Hamamoto, T. Kanaoka and S. Tomita: ``A Note on Orthonormal Discriminant Vectos of Pattern Recognition'', IEICE Trans.(A), Vol.J72-A, No.2, pp.414-419, 1989. (in Japanese)

  2. Y. Hamamoto, T. Kanaoka and S. Tomita: ``A Mixture Feature Extraction Method for Pattern Recognition'', IEICE Trans.(A), Vol.J72-A, No.10, pp.1659-1655, 1989. (in Japanese)

  3. Y. Hamamoto, T. Kanaoka and S. Tomita: ``Orthogonal discriminant analysis for interactive pattern analysis'', Proc. of 10th Int. Conf. Pattern Recognition, Atlantic City, pp.424-427 (June 1990).

  4. Y. Hamamoto, S. Uchimura, Y. Matsuura, T. Kanaoka and S. Tomita: ``Evaluation of the branch and bound algorithm for feature selection'', Pattern Recognition Letters, 11, 7, pp.453-456 (1990).

  5. Y. Hamamoto, Y. Matsuura, T. Kanaoka and S. Tomita: ``A note on the orthonormal discriminant vector method for feature extraction'', Pattern Recognition, 24, 7, pp.681-684 (1991).

  6. Y. Hamamoto, T. Kanaoka and S. Tomita: ``Orthogonal Discriminant Analysis Based on an Extended Fisher Criterion'', IEICE Trans.(A), Vol.J74-A, No.8, pp.1325-1331, 1991. (in Japanese)

  7. Y. Hamamoto, T. Kanaoka and S. Tomita: ``Orthogonal discriminant analysis for interactive pattern analysis'', IEICE Trans. INF. & SYST., E75-D, 4, pp.602-605 (1992).

  8. Y. Hamamoto, A. Ohama, T. Kanaoka and S. Tomita: ``Orthogonal discriminant analysis based on a modified Fisher criterion'', Proc. of 11th Int. Conf. Pattern Recognition, The Hague, pp.363-366 (Aug. 1992).

  9. Y. Hamamoto, Y. Sewaki, T. Kanaoka and S. Tomita: ``An Improvement of a Feature Extraction Method Based on a Squared Error Criterion'', IEICE Trans.(A), Vol.J76-A, No.5, pp.777-780, 1993. (in Japanese)

  10. Y. Hamamoto, T. Kanaoka and S. Tomita: ``On a theoretical comparison between the orthonormal discriminant vector method and discriminant analysis'', Pattern Recognition, 26, 12, pp.1863-1867 (1993).

  11. Y. Hamamoto, Y. Sewaki, T. Kanaoka and S. Tomita: ``A Theoretical Study on the Orthonormal Discriminant Vector Method for Pattern Recognition'', IEICE Trans.(A), Vol.J77-A, No.1, pp.76-83, 1994. (in Japanese)

  12. Y. Hamamoto and S. Tomita: ``A Generalized Orthonormal Discriminant Vector Method for Pattern Recognition'', IEICE Trans.(A), Vol.J77-A, No.4, pp.693-700, 1994. (in Japanese)

  13. Y. Hamamoto, M. Furusato, C. Kaneyama and S. Tomita: ``A Feature Selection Method Using Genetic Algorithms'', IEICE Trans.(A), Vol.J78-A, No.10, pp.1385-1389, 1995(in Japanese).

  14. T. Miyamoto and Y. Hamamoto: ``Study on the Orthonormal Discriminant Vector Method in Small Training Sample Size Situations'', IPSJ Trans., Vol.40, No.8, pp.3299-3309, 1999. (in Japanese)

(b)Classifier Design

  1. Y. Hamamoto, S. Uchimura, T. Kanaoka and S. Tomita: ``Comparison of classifiers in small sample size situations'', Proc. of 8th Scandinavian Conf. Image Analysis, Tromso, pp.11-12 (May 1993).

  2. S. Uchimura, Y. Hamamoto, T. Kanaoka and S. Tomita: ``Considerations of sample size in designing classifiers for pattern recognition'', Proc. of Asian Conf. Computer Vision, Osaka, pp.17-18 (Nov. 1993).

  3. Y. Hamamoto, S. Uchimura, and S. Tomita: ``Comparison of classifiers in small training sample size situations for pattern recognition'', IEICE Trans. INF. & SYST., E77-D, 3. pp.355-357 (1994).

  4. Y. Hamamoto. Y. Tsuneta. C. Kaneyama and S. Tomita: ``Selection of representatives using genetic algorithms'', Proc. of 9th Int. Conf. Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Fukuoka, pp.247-251 (June 1996).

  5. Y. Hamamoto, Y. Fujimoto and S. Tomita: ``On the estimation of a covariance matrix in designing Parzen classifiers'', Pattern Recognition, 29, 10, pp.1751-1759 (1996).

  6. Y. Hamamoto, S. Uchimura and S. Tomita: ``A bootstrap technique for nearest neighbor classifier design'', IEEE Trans. Pattern Analysis and Machine Intelligence, 19, 1, pp.73-79 (1997).

  7. Y. Hamamoto, Y. Tsuneta, C. Kaneyama and S. Tomita: ``Selection of Representatives for a Nearest Neighbor Classifier Using Genetic Algorithms'', IEICE Trans.(A), Vol.J80-A, No.2, pp.371-378, 1997. (in Japanese)

  8. T. Miyamoto, Y. Hamamoto, S. Uchimura and K. Mizuno: ``Evaluation of quadratic classifiers in small training sample size situations'', Proc. of Int. Workshop Soft Computing in Industry, Muroran, pp.448-450 (June 1999).

  9. Y. Muto, H. Nagase and Y. Hamamoto: ``Effects of the sample size in Parzen classifier design'', Proc. of Int. Workshop Soft Computing in Industry, Muroran, pp.351-355 (June 1999).

  10. Y. Mitani and Y. Hamamoto: ``Classifier design using nearest neighbor samples'', Proc. of 5th Int. Conf. Signal Processing Proceedings, ,Beijing, 3, pp.1448-1452 (August 2000).

  11. Y. Mitani and Y. Hamamoto: ``Classifier design based on the use of nearest neighbor samples'', Proc. of 15th Int. Conf. Pattern Recognition, Barcelona, Vol.2, pp.773-776 (Sep. 2000).

  12. Y. Muto, H. Nagase and Y. Hamamoto: ``Evaluation of a modified Parzen classifier in high dimensional spaces'', Proc. of 15th Int. Conf. Pattern Recognition, Barcelona, Vol.2, pp.67-70 (Sep. 2000).

  13. T. Miyamoto, Y. Mitani and Y. Hamamoto: ``Use of bootstrap samples in quadratic classifier design'', Proc. of 15th Int. Conf. Pattern Recognition, Barcelona, Vol.2, pp.793-796 (Sep. 2000).

  14. Y. Muto and Y. Hamamoto: ``Improvement of the Parzen classifier in small training sample size situations'', Intelligent Data Analysis 5, pp.477-490 (2001).

  15. Y. Mitani , Y. Hamamoto: ``A local mean-based nonparametric classifier'', Pattern Recognition Letters 27, pp.1151-1159 (2006).


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