北海道大学大学院情報科学研究科

Papers on Pattern Recognition

2010

Conference Papers

[tetsuji_2010] T. Takahashi and M. Kudo, Margin Preserved Approximate Convex Hulls for Classification, Proceedings of the 20th International Conference on Pattern Recognition (ICPR2010), 2010, Istanbul, Turkey, 4052–4055. DOI:10.1109/ICPR.2010.985

[kazuki_2010] K. Tsuji, M. Kudo and A. Tanaka, Localized Projection Learning, Structural, Syntactic and Statistical Pattern Recognition, Lecture Notes in Computer Science. vol. 6218, Edwin R. Hancock et al. (eds.), Springer, 2010. 90-99. http://dx.doi.org/10.1007/978-3-642-14980-1_8(The video is available at http://videolectures.net/ssspr2010_cesme/)

2009

Conference Papers

[tetsuji_2009] T. Takahashi, M. Kudo and A. Nakamura, Classifier Selection in a Family of Polyhedron Classifiers. Vol. LNCS 5856, E. Bayro-Corrochano and J.-O. Eklundh (eds.), Springer, 2009, 441-448.

2008

Technical Reports

[tetsuji_2008a] 高橋哲自,工藤峰一,中村篤祥,多面体識別子族における識別子選択. 電子情報通信学会技術研究報告, PRMU 2008-153(2008), 37-42.

2005

Conference Papers

[temmo_2005a] H. Tenmoto and M. Kudo, Density- and Complexity- Regularization in Gaussian Mixture Bayesian Classifier. Proceedings of the 4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology, Advances in Soft Computing, Soft Computing as Transdisciplinary Science and Technology, A. Abraham, et al. (Eds.), Springer, 2005, 391-399.

[mine_fsdm2005] M. Kudo and H. Tenmoto, Optimal Division for Feature Selection and Classification. Proceedings of the Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics, Newport Beach, 2005, April, 106–107.

[choku_2005] N. Abe and M. Kudo Entropy Criterion for Classifier-Independent Feature Selection. Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science, Vol. 3684, R. Khosla, R. J. Howlett, L. C. Jain (eds.), Springer, 2005, 689–695.

2003

Journal Papers

[Mine03a] M. Kudo, N. Masuyama and M. Shimbo, Simple termination conditions for k-nearest neighbor method, Pattern Recognition Letters, 24(2003), 1213–1223.

[Yasu03a] Y. Mori, M. Kudo, J. Toyama and M. Shimbo, Comparison of Low-Dimensional Mapping Techniques Based on Discriminatory Information, International Journal of Knowledge-Based Intelligent Enginnering Systems, 7-2(2003), 70–77.

[Kazu03] 青木 和昭, 渡辺 俊晴, 工藤 峰一, クラスに依存した特徴集合を用いた決定木の設計, 電子情報通信学会論文誌, J86-D-II-8(2003), 1156–1165.

[Yasu03b] 森 康久仁, 工藤 峰一, グラフによるインタラクティブなデータ分析と決定木の構成, 電子情報通信学会論文誌, J86-D-II-8(2003), 1166–1176.

Technical Reports

[Kawata03] 河田 岳大, 中村 篤祥, 外山 淳, 工藤 峰一, 両方向N-gram確率を用いた確率変化パターンによる誤り検出, 電子情報通信学会技術報告, PRMU 2003-75(2003), 1–5.

[Mine03b] 工藤峰一, 包含と排除によるk最近隣法の高速化, 電子情報通信学会技術報告, PRMU 2003-90(2003), 91–95.

2002

Conference Papers

[Abe02] N. Abe, M. Kudo and M. Shimbo, Classifier-Independent Feature Selection Based Non-parametric Discriminant Analysis, Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 2396, Terry Caelli, Adnan Amin, Robert P. W. Duin, Mohamed Kamel, Dick de Ridder(Eds.), Springer, 2002, 470-479. (Proceedings of Joint IAPR International Workshops SSPR2002 and SPR2002, Windsor, Canada, August 6-9, 2002)

[Kazu02] K. Aoki and M. Kudo, Decision Tree Using Class-Dependent Feature Subsets, Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 2396, Terry Caelli, Adnan Amin, Robert P. W. Duin, Mohamed Kamel, Dick de Ridder(Eds.), Springer, 2002, 761-769. (Proceedings of Joint IAPR International Workshops SSPR2002 and SPR2002, Windsor, Canada, August 6-9, 2002)

[Mine02] M. Kudo, Automatic Determination of Size for Feature Selection, Proceedings of the Sixth World Multiconference on Systemics, Cybernetics and Informatics, Orlando, 2002, Vol. XVI, 305-311.

[Yasu02] Y. Mori and M. Kudo, Interactive Data Exploration Using Graph Representation, Proceedings of the Sixth World Multiconference on Systemics, Cybernetics and Informatics (SCI’2002), Orlando, 2002, Vol. XVI, 312-317.

[Ftani02] F. Taniguchi and M. Kudo, Random Selection of Samples and Features for Getting General Accuracy of Classifier Combination, Proceedings of the Sixth World Multiconference on Systemics, Cybernetics and Informatics (SCI’2002), Orlando, 2002, Vol. XVI, 329-332.

2001

Journal Papers

[Masu01] 益山 直人・工藤峰一・外山 淳・新保 勝, パターン認識問題における終端条件の付加によるk近隣法の高速化, 電子情報通信学会論文誌,J84-D-II-3(2001), 439-447.

Conference Papers

[Yasu01] Y. Mori, M. Kudo, J. Toyama and M. Shimbo, Comparison of Low-Dimensional Mapping Techniques Based on Discriminatory Information, Proceedings of the Second International ICSC Symposium on Advances in Intelligent Data Analysis (AIDA’2001) (CDROM), Bangor, 2001, paper 1724-166.

[Tenmo01] H. Tenmoto, Y. Mori, M. Kudo and M. Shimbo, Visualization of High-Dimensional Supervised Data Structure using Piecewise Linear Classifiers, Proceedings of the Second International ICSC Symposium on Advances in Intelligent Data Analysis (AIDA’2001) (CDROM), Bangor, 2001, paper 1724-167.

[Mine01] M. Kudo, T. Murai and M. Shimbo, Clustering Consistent with Human Perception, Proceedings of the Second International ICSC Symposium on Advances in Intelligent Data Analysis (AIDA’2001) (CDROM), Bangor, 2001, paper 1724-168.

[1gac01] I. Takigawa, M. Kudo, J. Toyama and M. Shimbo, Error Analysis of MAP Solutions under Laplace Prior in Underdetermined Blind Source Separation, Proceedings of the Second International ICSC Symposium on Advances in Intelligent Data Analysis (AIDA’2001) (CDROM), Bangor, 2001, paper 1724-169.

2000

Journal Papers

[Mine00a] M. Kudo and J. Sklansky, Comparison of Algorithms that Select Features for Pattern Classifiers, Pattern Recognition, 33-1(2000), 25-41.

Conference Papers

[Tenmo00] H. Tenmoto, M. Kudo and M. Shimbo, Selection of the Number of Components Using a Genetic Algorithm for Mixture Model Classifiers, Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1876, F. J. Ferri, J. M. Inesta, A. Amin, and P. Pudil (Eds.), Springer, 2000, 511-520. (Proceedings of Joint IAPR International Workshops SSPR2000 and SPR2000, Alicante, Spain, August/September, 2000)

[Abe00] N. Abe, M. Kudo, J. Toyama and M. Shimbo, A Divergence Criterion for Classifier-Independent Feature Selection, Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1876, F. J. Ferri, J. M. Inesta, A. Amin, and P. Pudil (Eds.), Springer, 2000, 668-676. (Proceedings of Joint IAPR International Workshops SSPR2000 and SPR2000, Alicante, Spain, August/September, 2000)

[Mine00b] M. Kudo, P. Somol, P. Pudil and M. Shimbo, Comparison of Classifier-Specific Feature Selection Algorithm, Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1876, F. J. Ferri, J. M. Inesta, A. Amin, and P. Pudil (Eds.), Springer, 2000, 677-686. (Proceedings of Joint IAPR International Workshops SSPR2000 and SPR2000, Alicante, Spain, August/September, 2000)

[Mine00c] M. Kudo, H. Imai and M. Shimbo, A Histogram-Based Classifier on Overlapped Bins, Proceedings of 15th International Conference on Pattern Recognition (ICPR2000), Vol. 2, Bercelona, September 3-7, 2000, 29-33.

[Mine00d] M. Kudo, H. Imai, T. Murai and M. Shimbo, An MDL-Based Classifier for Multidimensional Space, Proceedings of the 4th World Multiconference on Systemics, Cybernetics and Informatics (SCI’2000), Orlando, 2000, Vol. 3, 498-503.

[Mine00e] T. Murai, M. Kudo and Y.Sato, Discovery of Association Rules and Rough-Set-Based Concept Learning, Proceedings of the 4th World Multiconference on Systemics, Cybernetics and Informatics (SCI’2000), Orlando, 2000, Vol. 3, 504-508.

1999

Journal Papers

[Mine99] M. Kudo, J. Toyama and M. Shimbo, Multidimensional Curve Classification Using Passing-Through Regions, Pattern Recognition Letters, 20-11-13(1999), 1103-1111.

Conference Papers

[Tenmo99] H. Tenmoto, M. Kudo and M. Shimbo, Determination of the Number of Components Based on Class Separability in Mixture-Based Classifiers. Proceedings of 3rd International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems(KES-99), Aderade, Aug. 31 – Spt. 1, 1999, 439-442.

[Masu99] N. Masuyama, M. Kudo, J. Toyama and M. Shimbo, Termination Conditions for a Fast k-Nearest Neighbor Method, Proceedings of 3rd International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems(KES-99), Aderade, Aug. 31 – Spt. 1, 1999, 443-446.

[Koni99] J. Konishi, S. Simba, J. Toyama, M. Kudo and M. Shimbo, Tabu Search for Solving Optimization Problems on Hopfield Neural, Proceedings of 3rd International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems(KES-99), Aderade, Aug. 31 – Spt. 1, 1999, 518-521.

1998

Journal Papers

[Mine98a] M. Kudo, Y. Torii, Y. Mori and M.Shimbo, Approximation of Class Regions by Quasi Convex Hulls. Pattern Recognition Letters, 19-9(1998), 777-786.

[Mine98b] M.Kudo and J. Sklansky, A comparative evaluation of medium- and large-scale feature selectors for pattern classifiers. Kybernetika, 34(1998), 429-434.

[Sato98a] M. Sato, M.Kudo, J. Toyama and M. Shimbo, Construction of a Nonlinear Discrimination Function Based on the MDL Criterion. Kybernetika, 34(1998), 467-472.

[Tenmo98a] H. Tenmoto, M.Kudo and M. Shimbo, Piecewise Linear Classifiers Preserving High Local Recognition Rates. Kybernetika, 34(1998), 479-484.

[Tenmo98b] H. Tenmoto, M. Kudo and M. Shimbo, Piecewise Linear Classifiers with An Appropriate Number of Hyperplanes. Pattern Recogntion, 31-11(1998), 1627–1634.

Conference Papers

[Mine98c] M. Kudo, F. Taniguchi, H. Tenmoto and M. Shimbo, Appropriate Initial Component Densities of Mixture Modeling for Pattern Recognition, Proceedings of 2nd International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems(KES’98), Aderade, 1998, April, 373-377.

[Mine98e] M. Kudo and J. Sklansky, Classifier-Independent Feature Selection for Two-stage Feature Selection. Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1451, A. Amin, D. Dori, P. Pudil and H. Freeman (Eds.), Springer, 1998, 548-554.(Proceeding of Joint IAPR International Workshops SSPR’98 and SPR’98, Sydney, Australia, August, 1998)

[Sato98b] M. Sato, M.Kudo, J. Toyama and M. Shimbo, Feature Selection for a Nonlinear Classifier.Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1451, A. Amin, D. Dori, P. Pudil and H. Freeman (Eds.), Springer, 1998, 555-563. (Proceeding of Joint IAPR International Workshops SSPR’98 and SPR’98, Sydney, Australia, August, 1998)

[Tenmo98d] H. Tenmoto, M. Kudo and M. Shimbo, MDL-based selection of the number of components in mixture models for pattern classification. Advances in Pattern Recognition, Lecture Notes in Computer Science, Vol. 1451, A. Amin, D. Dori, P. Pudil and H. Freeman (Eds.), Springer, 1998. 831-836. (Proceeding of Joint IAPR International Workshops SSPR’98 and SPR’98, Sydney, Australia, August, 1998)

[Mine98f] M. Kudo, H. Tenmoto, S. Sumiyoshi and M. Shimbo, A Subclass-Based Mixture Model for Pattern Recognition. Proceedings of 14th International Conference on Pattern Recognition (ICPR98), Vol. 1, Brisban, August 16-20, 1998, 870-872.

[Yasu98] Y. Mori, M. Kudo, J. Toyama and M. Shimbo, Visualization of the Structure of Classes Using a Graph. Proceedings of 14th International Conference on Pattern Recognition (ICPR98), Vol. 2, Brisban, August 16-20, 1998, 1724-1727.

Technical Reports

[Mine98d] 工藤峰一, 溝井俊明, 新保 勝, 手書き漢字同定のための動的モデルによるストローク抽出. 電子情報通信学会技術報告, PRMU98-40(1998-06), 25-32.

[Masu98] 益山直人, 工藤峰一, 外山 淳, 新保 勝, 分枝限定法利用の最近隣法における終端条件の効果. 電子情報通信学会技術報告, PRMU98-41(1998-06), 33-37.

[Tenmo98c] 天元 宏, 工藤峰一, 新保 勝, 混合分布を用いた識別規則における最適な混合数の選択. 電子情報通信学会技術報告, PRMU98-42(1998-06), 39-43.

[Mine98g] 工藤峰一, 外山 淳, 新保 勝, 通過領域に着目した多次元空間における曲線分類. 電子情報通信学会技術報告, PRMU98-116(1998-06), 29-35.

1997

Journal Papers

[Mine96a] M. Kudo, K. Mizukami, Y. Nakamura and M. Shimbo, Realization of Membership Queries in Character Recognition, Pattern Recognition Letters, 17(1996), 77-82.

[Mine96b] M. Kudo, S. Yanagi and M. Shimbo, Construction of Class Regions by a Randomized Algorithm: A Randomized Subclass Method, Pattern Recognition, 29(1996), 581-588.

[Mine92] M. Kudo and M. Shimbo, Supplementary Learning of Discrimination Rules Using Oracles and Queries in Concept Learning. Advances in Structural and Systactic Pattern Recognition, H. Bunke (Eds.), Series in Machine Perception and Artificial Intelligence, 5(1992), 141–150.

Conference Papers

[Mine97] M. Kudo and J. Sklansky, A comparative evaluation of medium- and large-scale feature selectors for pattern classifiers. Proceedings of 1st International Workshop on Statistical Techniques in Pattern Recognition (STIPR’97), Prague, 1997, 91-96.

[Sato97] M. Sato, M.Kudo, J. Toyama and M. Shimbo, Construction of a Nonlinear Discrimination Function Based on the MDL Criterion. Proceedings of 1st International Workshop on Statistical Techniques in Pattern Recognition (STIPR’97), Prague, 1997, 141-146.

[Tenmo97] H. Tenmoto, M.Kudo and M. Shimbo, Piecewise Linear Classifiers Preserving High Local Recognition Rates. Proceedings of 1st International Workshop on Statistical Techniques in Pattern Recognition (STIPR’97), Prague, 1997, 171-176.

[Ftani97a] F. Taniguchi, M. Kudo, T. Murai and M. Shimbo, A Rough-Set-Based Approach to Estimation of Class Regions in Pattern Recognition. Proceedings of VIIth Conference of the International Association for the Development of Interdisciplinary Research(AIDRI), Geneva, 1997, 135-138.

[Ftani97b] F. Taniguchi, M. Kudo, M. Shimbo, Estimation of Class Regions in Feature Space Using Rough Set Theory. Proceedings of First International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems(KES97), Aderade, 1997, 373 -377.

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