Koji Tsuda

According to our database, Koji Tsuda authored at least 127 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Preference-Optimized Pareto Set Learning for Blackbox Optimization.

Zhang Haishan, Diptesh Das, Koji Tsuda

CoRR, 2024

Molecule Graph Networks with Many-body Equivariant Interactions.

Zetian Mao, Jiawen Li, Chen Liang, Diptesh Das, Masato Sumita, Koji Tsuda

CoRR, 2024

2023

Revealing factors influencing polymer degradation with rank-based machine learning.

Weilin Yuan, Yusuke Hibi, Ryo Tamura, Masato Sumita, Yasuyuki Nakamura, Masanobu Naito, Koji Tsuda

Patterns, December, 2023

Efficient model selection for predictive pattern mining model by safe pattern pruning.

Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi

Patterns, December, 2023

Interpretable Fragment-Based Molecule Design with Self-Learning Entropic Population Annealing.

Jiawen Li, Masato Sumita, Ryo Tamura, Koji Tsuda

Adv. Intell. Syst., October, 2023

On a linear fused Gromov-Wasserstein distance for graph structured data.

Dai Hai Nguyen, Koji Tsuda

Pattern Recognit., June, 2023

3D-Sensitive Encoding of Pharmacophore Features.

Francois Berenger, Koji Tsuda

J. Chem. Inf. Model., April, 2023

Feature Importance Measurement based on Decision Tree Sampling.

Chao Huang, Diptesh Das, Koji Tsuda

CoRR, 2023

NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science.

Ryo Tamura, Koji Tsuda, Shoichi Matsuda

CoRR, 2023

2022

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization.

Masato Sumita, Kei Terayama, Ryo Tamura, Koji Tsuda

J. Chem. Inf. Model., 2022

Bayesian optimization package: PHYSBO.

Yuichi Motoyama, Ryo Tamura, Kazuyoshi Yoshimi, Kei Terayama, Tsuyoshi Ueno, Koji Tsuda

Comput. Phys. Commun., 2022

Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model.

Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Molecular generation by Fast Assembly of (Deep)SMILES fragments.

Francois Berenger, Koji Tsuda

J. Cheminformatics, 2021

A generative model for molecule generation based on chemical reaction trees.

Dai Hai Nguyen, Koji Tsuda

CoRR, 2021

Continuous black-box optimization with quantum annealing and random subspace coding.

Syun Izawa, Koki Kitai, Shu Tanaka, Ryo Tamura, Koji Tsuda

CoRR, 2021

2020

Efficient query autocompletion with edit distance-based error tolerance.

Jianbin Qin, Chuan Xiao, Sheng Hu, Jie Zhang, Wei Wang, Yoshiharu Ishikawa, Koji Tsuda, Kunihiko Sadakane

VLDB J., 2020

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration.

Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda

J. Cheminformatics, 2020

2019

Leveraging Legacy Data to Accelerate Materials Design via Preference Learning.

Xiaolin Sun, Zhufeng Hou, Masato Sumita, Shinsuke Ishihara, Ryo Tamura, Koji Tsuda

CoRR, 2019

2018

Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach.

Mitsugu Araki, Hiroaki Iwata, Biao Ma, Atsuto Fujita, Kei Terayama, Yukari Sagae, Fumie Ono, Koji Tsuda, Narutoshi Kamiya, Yasushi Okuno

J. Comput. Chem., 2018

Transductive Boltzmann Machines.

Mahito Sugiyama, Koji Tsuda, Hiroyuki Nakahara

CoRR, 2018

Legendre Tensor Decomposition.

Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda

CoRR, 2018

MP-LAMP: parallel detection of statistically significant multi-loci markers on cloud platforms.

Kazuki Yoshizoe, Aika Terada, Koji Tsuda

Bioinform., 2018

Machine learning accelerates MD-based binding pose prediction between ligands and proteins.

Kei Terayama, Hiroaki Iwata, Mitsugu Araki, Yasushi Okuno, Koji Tsuda

Bioinform., 2018

DenseZDD: A Compact and Fast Index for Families of Sets.

Shuhei Denzumi, Jun Kawahara, Koji Tsuda, Hiroki Arimura, Shin-ichi Minato, Kunihiko Sadakane

Algorithms, 2018

Legendre Decomposition for Tensors.

Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

ChemTS: An Efficient Python Library for de novo Molecular Generation.

Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama, Koji Tsuda

CoRR, 2017

RNA inverse folding using Monte Carlo tree search.

Xiufeng Yang, Kazuki Yoshizoe, Akito Taneda, Koji Tsuda

BMC Bioinform., 2017

Selective Inference for Sparse High-Order Interaction Models.

Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi

Proceedings of the 34th International Conference on Machine Learning, 2017

Tensor Balancing on Statistical Manifold.

Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

CellTree: an R/bioconductor package to infer the hierarchical structure of cell populations from single-cell RNA-seq data.

David A. duVerle, Sohiya Yotsukura, Seitaro Nomura, Hiroyuki Aburatani, Koji Tsuda

BMC Bioinform., 2016

LAMPLINK: detection of statistically significant SNP combinations from GWAS data.

Aika Terada, Ryo Yamada, Koji Tsuda, Jun Sese

Bioinform., 2016

Significant Pattern Mining with Confounding Variables.

Aika Terada, David duVerle, Koji Tsuda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining.

Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Information decomposition on structured space.

Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Privacy-preserving search for chemical compound databases.

Kana Shimizu, Koji Nuida, Hiromi Arai, Shigeo Mitsunari, Nuttapong Attrapadung, Michiaki Hamada, Koji Tsuda, Takatsugu Hirokawa, Jun Sakuma, Goichiro Hanaoka, Kiyoshi Asai

BMC Bioinform., December, 2015

Redesigning pattern mining algorithms for supercomputers.

Kazuki Yoshizoe, Aika Terada, Koji Tsuda

CoRR, 2015

Superset Generation on Decision Diagrams.

Takahisa Toda, Shogo Takeuchi, Koji Tsuda, Shin-ichi Minato

Proceedings of the WALCOM: Algorithms and Computation - 9th International Workshop, 2015

Privacy-Preserving Statistical Analysis by Exact Logistic Regression.

David A. duVerle, Shohei Kawasaki, Yoshiji Yamada, Jun Sakuma, Koji Tsuda

Proceedings of the 2015 IEEE Symposium on Security and Privacy Workshops, 2015

BDD construction for all solutions SAT and efficient caching mechanism.

Takahisa Toda, Koji Tsuda

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries.

Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Distribution Loss Minimization With Guaranteed Error Bound.

Takeru Inoue, Keiji Takano, Takayuki Watanabe, Jun Kawahara, Ryo Yoshinaka, Akihiro Kishimoto, Koji Tsuda, Shin-ichi Minato, Yasuhiro Hayashi

IEEE Trans. Smart Grid, 2014

Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection.

Hirohito Sasakawa, Hiroki Harada, David duVerle, Hiroki Arimura, Koji Tsuda, Jun Sakuma

Proceedings of the 13th Workshop on Privacy in the Electronic Society, 2014

Statistically significant subgraphs for genome-wide association study.

Jun Sese, Aika Terada, Yuki Saito, Koji Tsuda

Proceedings of the 1st ECML/PKDD Workshop on Statistically Sound Data Mining, 2014

A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration.

Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Online matrix prediction for sparse loss matrices.

Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Efficient Error-tolerant Query Autocompletion.

Chuan Xiao, Jianbin Qin, Wei Wang, Yoshiharu Ishikawa, Koji Tsuda, Kunihiko Sadakane

Proc. VLDB Endow., 2013

Fast Iterative Mining Using Sparsity-Inducing Loss Functions.

Hiroto Saigo, Hisashi Kashima, Koji Tsuda

IEICE Trans. Inf. Syst., 2013

Discovering combinatorial interactions in survival data.

David duVerle, Ichiro Takeuchi, Yuko Murakami-Tonami, Kenji Kadomatsu, Koji Tsuda

Bioinform., 2013

Compact Complete Inverted Files for Texts and Directed Acyclic Graphs Based on Sequence Binary Decision Diagrams .

Shuhei Denzumi, Koji Tsuda, Hiroki Arimura, Shin-ichi Minato

Proceedings of the Prague Stringology Conference 2013, Prague, Czech Republic, 2013

Fast Westfall-Young permutation procedure for combinatorial regulation discovery.

Aika Terada, Koji Tsuda, Jun Sese

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

PoSSuM: a database of similar protein-ligand binding and putative pockets.

Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu, Koji Tsuda, Kentaro Tomii

Nucleic Acids Res., 2012

Data Mining for Biologists.

Koji Tsuda

Int. J. Knowl. Discov. Bioinform., 2012

2011

Multi-way set enumeration in weight tensors.

Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf

Mach. Learn., 2011

SlideSort: all pairs similarity search for short reads.

Kana Shimizu, Koji Tsuda

Bioinform., 2011

Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees.

Yasuo Tabei, Koji Tsuda

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

LGM: Mining Frequent Subgraphs from Linear Graphs.

Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Second Workshop on Algorithms for Large-Scale Information Processing in Knowledge Discovery (ALSIP).

Koji Tsuda, Shin-ichi Minato

Proceedings of the New Frontiers in Artificial Intelligence, 2011

Matrix Decomposition-based Dimensionality Reduction on Graph Data.

Hiroto Saigo, Koji Tsuda

Proceedings of the Graph Data Management: Techniques and Applications., 2011

Graph Classification Methods in Chemoinformatics.

Koji Tsuda

Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010

Graph Classification.

Koji Tsuda, Hiroto Saigo

Proceedings of the Managing and Mining Graph Data, 2010

Single versus Multiple Sorting in All Pairs Similarity Search.

Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Cartesian Kernel: An Efficient Alternative to the Pairwise Kernel.

Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda

IEICE Trans. Inf. Syst., 2010

Reaction graph kernels predict EC numbers of unknown enzymatic reactions in plant secondary metabolism.

Hiroto Saigo, Masahiro Hattori, Hisashi Kashima, Koji Tsuda

BMC Bioinform., 2010

2009

gBoost: a mathematical programming approach to graph classification and regression.

Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda

Mach. Learn., 2009

Protein functional class prediction with a combined graph.

Hyunjung Shin, Koji Tsuda, Bernhard Schölkopf

Expert Syst. Appl., 2009

Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method

Takeaki Uno, Masashi Sugiyama, Koji Tsuda

CoRR, 2009

Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data.

Mitsunori Kayano, Ichigaku Takigawa, Motoki Shiga, Koji Tsuda, Hiroshi Mamitsuka

Bioinform., 2009

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.

Hisashi Kashima, Yoshihiro Yamanishi, Tsuyoshi Kato, Masashi Sugiyama, Koji Tsuda

Bioinform., 2009

Enumeration of condition-dependent dense modules in protein interaction networks.

Elisabeth Georgii, Sabine Dietmann, Takeaki Uno, Philipp Pagel, Koji Tsuda

Bioinform., 2009

The DICS repository: module-assisted analysis of disease-related gene lists.

Sabine Dietmann, Elisabeth Georgii, Alexey V. Antonov, Koji Tsuda, Hans-Werner Mewes

Bioinform., 2009

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.

Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda

Proceedings of the SIAM International Conference on Data Mining, 2009

A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection.

Silvia Chiappa, Hiroto Saigo, Koji Tsuda

Proceedings of the SIAM International Conference on Data Mining, 2009

On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.

Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Submodularity Cuts and Applications.

Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Multi-way set enumeration in real-valued tensors.

Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf

Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining using Matrices and Tensors, 2009

2008

Graph Mining with Variational Dirichlet Process Mixture Models.

Koji Tsuda, Kenichi Kurihara

Proceedings of the SIAM International Conference on Data Mining, 2008

Partial least squares regression for graph mining.

Hiroto Saigo, Nicole Krämer, Koji Tsuda

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Iterative Subgraph Mining for Principal Component Analysis.

Hiroto Saigo, Koji Tsuda

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Frequent Subgraph Retrieval in Geometric Graph Databases.

Sebastian Nowozin, Koji Tsuda

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Bayesian Inference and Optimal Design in the Sparse Linear Model.

Matthias W. Seeger, Florian Steinke, Koji Tsuda

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models.

Florian Steinke, Matthias W. Seeger, Koji Tsuda

BMC Syst. Biol., 2007

Mining expression-dependent modules in the human interaction network.

Elisabeth Georgii, Sabine Dietmann, Takeaki Uno, Philipp Pagel, Koji Tsuda

BMC Bioinform., 2007

NIPS workshop on New Problems and Methods in Computational Biology.

Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda

BMC Bioinform., 2007

Mining complex genotypic features for predicting HIV-1 drug resistance.

Hiroto Saigo, Takeaki Uno, Koji Tsuda

Bioinform., 2007

Change-Point Detection using Krylov Subspace Learning.

Tsuyoshi Idé, Koji Tsuda

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Entire regularization paths for graph data.

Koji Tsuda

Proceedings of the Machine Learning, 2007

Discriminative Subsequence Mining for Action Classification.

Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Weighted Substructure Mining for Image Analysis.

Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Network-based de-noising improves prediction from microarray data.

Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi Asai, Paul Horton, Koji Tsuda, Wataru Fujibuchi

BMC Bioinform., 2006

SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments.

Yasuo Tabei, Koji Tsuda, Taishin Kin, Kiyoshi Asai

Bioinform., 2006

Mining frequent stem patterns from unaligned RNA sequences.

Michiaki Hamada, Koji Tsuda, Taku Kudo, Taishin Kin, Kiyoshi Asai

Bioinform., 2006

Clustering graphs by weighted substructure mining.

Koji Tsuda, Taku Kudo

Proceedings of the Machine Learning, 2006

Prediction of Protein Function from Networks.

Hyunjung Shin, Koji Tsuda

Proceedings of the Semi-Supervised Learning, 2006

2005

Image reconstruction by linear programming.

Koji Tsuda, Gunnar Rätsch

IEEE Trans. Image Process., 2005

Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection.

Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth

J. Mach. Learn. Res., 2005

Selective integration of multiple biological data for supervised network inference.

Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai

Bioinform., 2005

Propagating distributions on a hypergraph by dual information regularization.

Koji Tsuda

Proceedings of the Machine Learning, 2005

Fast protein classification with multiple networks.

Koji Tsuda, Hyunjung Shin, Bernhard Schölkopf

Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004

Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data.

Koji Tsuda, Shinsuke Uda, Taishin Kin, Kiyoshi Asai

Neural Process. Lett., 2004

Asymptotic Properties of the Fisher Kernel.

Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller

Neural Comput., 2004

A New Variational Framework for Rigid-Body Alignment.

Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai

Proceedings of the Structural, 2004

Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection.

Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning kernels from biological networks by maximizing entropy.

Koji Tsuda, William Stafford Noble

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Learning to Find Graph Pre-images.

Gökhan H. Bakir, Alexander Zien, Koji Tsuda

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003

The em Algorithm for Kernel Matrix Completion with Auxiliary Data.

Koji Tsuda, Shotaro Akaho, Kiyoshi Asai

J. Mach. Learn. Res., 2003

Marginalized Kernels Between Labeled Graphs.

Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi

Proceedings of the Machine Learning, 2003

2002

Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors.

Koji Tsuda, Masashi Sugiyama, Klaus-Robert Müller

IEEE Trans. Neural Networks, 2002

A New Discriminative Kernel from Probabilistic Models.

Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

Neural Comput., 2002

Approximating Incomplete Kernel Matrices by the em Algorithm

Koji Tsuda, Shotaro Akaho, Kiyoshi Asai

CoRR, 2002

Clustering with the Fisher Score.

Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Marginalized kernels for biological sequences.

Koji Tsuda, Taishin Kin, Kiyoshi Asai

Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

The Leave-One-Out Kernel.

Koji Tsuda, Motoaki Kawanabe

Proceedings of the Artificial Neural Networks, 2002

Modeling splicing sites with pairwise correlations.

Masanori Arita, Koji Tsuda, Kiyoshi Asai

Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

2001

An Attempt for Coloring Multichannel MR Imaging Data.

Shigeru Muraki, Toshiharu Nakai, Yasuyo Kita, Koji Tsuda

IEEE Trans. Vis. Comput. Graph., 2001

An introduction to kernel-based learning algorithms.

Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf

IEEE Trans. Neural Networks, 2001

The subspace method in Hilbert space.

Koji Tsuda

Syst. Comput. Jpn., 2001

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.

Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller

Proceedings of the Artificial Neural Networks, 2001

Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters.

Volker Roth, Koji Tsuda

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Large Margin Classifier via Semiparametric Inference.

Koji Tsuda, Shotaro Akaho

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Subspace classifier in the Hilbert space.

Koji Tsuda

Pattern Recognit. Lett., 1999

Subspace classifier in reproducing kernel Hilbert space.

Koji Tsuda

Proceedings of the International Joint Conference Neural Networks, 1999

Support vector classifier with asymetric kernel function.

Koji Tsuda

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Pattern Recognition Method for Metric Space by Four Points Embedding.

Hideya Yoshiuchi, Koji Tsuda, Shigenobu Fukushima, Michihiko Minoh

Proceedings of the Image and Vision Computing New Zealand, International Conference, 1998

1997

Sequential fuzzy cluster extraction and its robustness against noise.

Koji Tsuda, Shuji Senda, Michihiko Minoh, Katsuo Ikeda

Syst. Comput. Jpn., 1997

A Nonparametric Density Model for Classification in a High Dimensional Space.

Koji Tsuda, Michihiko Minoh

Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996

Extracting straight lines by sequential fuzzy clustering.

Koji Tsuda, Michihiko Minoh, Katsuo Ikeda

Pattern Recognit. Lett., 1996

1995

Clustering OCR-ed texts for browsing document image database.

Koji Tsuda, Shuji Senda, Michihiko Minoh, Katsuo Ikeda

Proceedings of the Third International Conference on Document Analysis and Recognition, 1995