| * | 2009 |
| 58 | EE | Elisabeth Georgii,
Koji Tsuda,
Bernhard Schölkopf:
Multi-way set enumeration in real-valued tensors.
KDD Workshop on Data Mining using Matrices and Tensors 2009 |
| 57 | EE | Hisashi Kashima,
Satoshi Oyama,
Yoshihiro Yamanishi,
Koji Tsuda:
On Pairwise Kernels: An Efficient Alternative and Generalization Analysis.
PAKDD 2009: 1030-1037 |
| 56 | EE | Hisashi Kashima,
Tsuyoshi Kato,
Yoshihiro Yamanishi,
Masashi Sugiyama,
Koji Tsuda:
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
SDM 2009: 1099-1110 |
| 55 | EE | Silvia Chiappa,
Hiroto Saigo,
Koji Tsuda:
A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection.
SDM 2009: 295-304 |
| 54 | EE | Sabine Dietmann,
Elisabeth Georgii,
Alexey V. Antonov,
Koji Tsuda,
Hans-Werner Mewes:
The DICS repository: module-assisted analysis of disease-related gene lists.
Bioinformatics 25(6): 830-831 (2009) |
| 53 | EE | Elisabeth Georgii,
Sabine Dietmann,
Takeaki Uno,
Philipp Pagel,
Koji Tsuda:
Enumeration of condition-dependent dense modules in protein interaction networks.
Bioinformatics 25(7): 933-940 (2009) |
| 52 | EE | Takeaki Uno,
Masashi Sugiyama,
Koji Tsuda:
Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method
CoRR abs/0904.3151: (2009) |
| 51 | EE | Hyunjung Shin,
Koji Tsuda,
Bernhard Schölkopf:
Protein functional class prediction with a combined graph.
Expert Syst. Appl. 36(2): 3284-3292 (2009) |
| 2008 |
| 50 | EE | Hiroto Saigo,
Koji Tsuda:
Iterative Subgraph Mining for Principal Component Analysis.
ICDM 2008: 1007-1012 |
| 49 | EE | Sebastian Nowozin,
Koji Tsuda:
Frequent Subgraph Retrieval in Geometric Graph Databases.
ICDM 2008: 953-958 |
| 48 | EE | Hiroto Saigo,
Nicole Krämer,
Koji Tsuda:
Partial least squares regression for graph mining.
KDD 2008: 578-586 |
| 47 | EE | Koji Tsuda,
Kenichi Kurihara:
Graph Mining with Variational Dirichlet Process Mixture Models.
SDM 2008: 432-442 |
| 2007 |
| 46 | | Paolo Frasconi,
Kristian Kersting,
Koji Tsuda:
Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings
MLG 2007 |
| 45 | EE | Sebastian Nowozin,
Koji Tsuda,
Takeaki Uno,
Taku Kudo,
Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis.
CVPR 2007 |
| 44 | EE | Sebastian Nowozin,
Gökhan H. Bakir,
Koji Tsuda:
Discriminative Subsequence Mining for Action Classification.
ICCV 2007: 1-8 |
| 43 | EE | Koji Tsuda:
Entire regularization paths for graph data.
ICML 2007: 919-926 |
| 42 | EE | Sebastian Nowozin,
Koji Tsuda,
Takeaki Uno,
Taku Kudo,
Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis.
MLG 2007 |
| 41 | EE | Tsuyoshi Idé,
Koji Tsuda:
Change-Point Detection using Krylov Subspace Learning.
SDM 2007 |
| 40 | EE | Gal Chechik,
Christina S. Leslie,
William Stafford Noble,
Gunnar Rätsch,
Quaid Morris,
Koji Tsuda:
NIPS workshop on New Problems and Methods in Computational Biology.
BMC Bioinformatics 8(S-10): (2007) |
| 39 | EE | Elisabeth Georgii,
Sabine Dietmann,
Takeaki Uno,
Philipp Pagel,
Koji Tsuda:
Mining expression-dependent modules in the human interaction network.
BMC Bioinformatics 8(S-8): (2007) |
| 38 | EE | Hiroto Saigo,
Takeaki Uno,
Koji Tsuda:
Mining complex genotypic features for predicting HIV-1 drug resistance.
Bioinformatics 23(18): 2455-2462 (2007) |
| 2006 |
| 37 | EE | Koji Tsuda,
Taku Kudo:
Clustering graphs by weighted substructure mining.
ICML 2006: 953-960 |
| 36 | EE | Tsuyoshi Kato,
Yukio Murata,
Koh Miura,
Kiyoshi Asai,
Paul Horton,
Koji Tsuda,
Wataru Fujibuchi:
Network-based de-noising improves prediction from microarray data.
BMC Bioinformatics 7(S-1): (2006) |
| 35 | EE | Yasuo Tabei,
Koji Tsuda,
Taishin Kin,
Kiyoshi Asai:
SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments.
Bioinformatics 22(14): 1723-1729 (2006) |
| 34 | EE | Michiaki Hamada,
Koji Tsuda,
Taku Kudo,
Taishin Kin,
Kiyoshi Asai:
Mining frequent stem patterns from unaligned RNA sequences.
Bioinformatics 22(20): 2480-2487 (2006) |
| 2005 |
| 33 | EE | Koji Tsuda,
Hyunjung Shin,
Bernhard Schölkopf:
Fast protein classification with multiple networks.
ECCB/JBI 2005: 65 |
| 32 | EE | Koji Tsuda:
Propagating distributions on a hypergraph by dual information regularization.
ICML 2005: 920-927 |
| 31 | EE | Tsuyoshi Kato,
Koji Tsuda,
Kiyoshi Asai:
Selective integration of multiple biological data for supervised network inference.
Bioinformatics 21(10): 2488-2495 (2005) |
| 30 | EE | Koji Tsuda,
Gunnar Rätsch:
Image reconstruction by linear programming.
IEEE Transactions on Image Processing 14(6): 737-744 (2005) |
| 29 | EE | Koji Tsuda,
Gunnar Rätsch,
Manfred K. Warmuth:
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection.
Journal of Machine Learning Research 6: 995-1018 (2005) |
| 2004 |
| 28 | EE | Gökhan H. Bakir,
Alexander Zien,
Koji Tsuda:
Learning to Find Graph Pre-images.
DAGM-Symposium 2004: 253-261 |
| 27 | EE | Koji Tsuda,
William Stafford Noble:
Learning kernels from biological networks by maximizing entropy.
ISMB/ECCB (Supplement of Bioinformatics) 2004: 326-333 |
| 26 | EE | Koji Tsuda,
Gunnar Rätsch,
Manfred K. Warmuth:
Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection.
NIPS 2004 |
| 25 | EE | Tsuyoshi Kato,
Koji Tsuda,
Kentaro Tomii,
Kiyoshi Asai:
A New Variational Framework for Rigid-Body Alignment.
SSPR/SPR 2004: 171-179 |
| 24 | EE | Koji Tsuda,
Shotaro Akaho,
Motoaki Kawanabe,
Klaus-Robert Müller:
Asymptotic Properties of the Fisher Kernel.
Neural Computation 16(1): 115-137 (2004) |
| 23 | | Koji Tsuda,
Shinsuke Uda,
Taishin Kin,
Kiyoshi Asai:
Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data.
Neural Processing Letters 19(1): 63-72 (2004) |
| 2003 |
| 22 | | Hisashi Kashima,
Koji Tsuda,
Akihiro Inokuchi:
Marginalized Kernels Between Labeled Graphs.
ICML 2003: 321-328 |
| 21 | EE | Koji Tsuda,
Gunnar Rätsch:
Image Reconstruction by Linear Programming.
NIPS 2003 |
| 20 | EE | Koji Tsuda,
Shotaro Akaho,
Kiyoshi Asai:
The em Algorithm for Kernel Matrix Completion with Auxiliary Data.
Journal of Machine Learning Research 4: 67-81 (2003) |
| 2002 |
| 19 | | Masanori Arita,
Koji Tsuda,
Kiyoshi Asai:
Modeling splicing sites with pairwise correlations.
ECCB 2002: 27-34 |
| 18 | EE | Koji Tsuda,
Motoaki Kawanabe:
The Leave-One-Out Kernel.
ICANN 2002: 727-732 |
| 17 | | Koji Tsuda,
Taishin Kin,
Kiyoshi Asai:
Marginalized kernels for biological sequences.
ISMB 2002: 268-275 |
| 16 | EE | Koji Tsuda,
Motoaki Kawanabe,
Klaus-Robert Müller:
Clustering with the Fisher Score.
NIPS 2002: 729-736 |
| 15 | EE | Koji Tsuda,
Shotaro Akaho,
Kiyoshi Asai:
Approximating Incomplete Kernel Matrices by the em Algorithm
CoRR cs.LG/0211007: (2002) |
| 14 | EE | Koji Tsuda,
Motoaki Kawanabe,
Gunnar Rätsch,
Sören Sonnenburg,
Klaus-Robert Müller:
A New Discriminative Kernel from Probabilistic Models.
Neural Computation 14(10): 2397-2414 (2002) |
| 2001 |
| 13 | EE | Volker Roth,
Koji Tsuda:
Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters.
CVPR (1) 2001: 1120-1125 |
| 12 | EE | Koji Tsuda,
Gunnar Rätsch,
Sebastian Mika,
Klaus-Robert Müller:
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers.
ICANN 2001: 331-338 |
| 11 | EE | Koji Tsuda,
Motoaki Kawanabe,
Gunnar Rätsch,
Sören Sonnenburg,
Klaus-Robert Müller:
A New Discriminative Kernel From Probabilistic Models.
NIPS 2001: 977-984 |
| 10 | EE | Shigeru Muraki,
Toshiharu Nakai,
Yasuyo Kita,
Koji Tsuda:
An Attempt for Coloring Multichannel MR Imaging Data.
IEEE Trans. Vis. Comput. Graph. 7(3): 265-274 (2001) |
| 9 | EE | Koji Tsuda:
The subspace method in Hilbert space.
Systems and Computers in Japan 32(6): 55-61 (2001) |
| 2000 |
| 8 | EE | Koji Tsuda,
Shotaro Akaho:
Large Margin Classifier via Semiparametric Inference.
IJCNN (2) 2000: 23-28 |
| 1999 |
| 7 | EE | Koji Tsuda:
Support vector classifier with asymetric kernel function.
ESANN 1999: 183-188 |
| 6 | EE | Koji Tsuda:
Subspace classifier in the Hilbert space.
Pattern Recognition Letters 20(5): 513-519 (1999) |
| 1998 |
| 5 | | Hideya Yoshiuchi,
Koji Tsuda,
Shigenobu Fukushima,
Michihiko Minoh:
Pattern Recognition Method for Metric Space by Four Points Embedding.
IVCNZ 1998: 186-191 |
| 1997 |
| 4 | EE | Koji Tsuda,
Michihiko Minoh:
A Nonparametric Density Model for Classification in a High Dimensional Space.
ICDAR 1997: 1082-1087 |
| 3 | EE | Koji Tsuda,
Shuji Senda,
Michihiko Minoh,
Katsuo Ikeda:
Sequential fuzzy cluster extraction and its robustness against noise.
Systems and Computers in Japan 28(6): 10-17 (1997) |
| 1996 |
| 2 | EE | Koji Tsuda,
Michihiko Minoh,
Katsuo Ikeda:
Extracting straight lines by sequential fuzzy clustering.
Pattern Recognition Letters 17(6): 643-649 (1996) |
| 1995 |
| 1 | EE | Koji Tsuda,
Shuji Senda,
Michihiko Minoh,
Katsuo Ikeda:
Clustering OCR-ed texts for browsing document image database.
ICDAR 1995: 171-174 |