| 2009 | ||
|---|---|---|
| 58 | 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 | Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda: On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. PAKDD 2009: 1030-1037 | |
| 56 | 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 | Silvia Chiappa, Hiroto Saigo, Koji Tsuda: A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection. SDM 2009: 295-304 | |
| 54 | 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 | 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 | Takeaki Uno, Masashi Sugiyama, Koji Tsuda: Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method CoRR abs/0904.3151: (2009) | |
| 51 | Hyunjung Shin, Koji Tsuda, Bernhard Schölkopf: Protein functional class prediction with a combined graph. Expert Syst. Appl. 36(2): 3284-3292 (2009) | |
| 2008 | ||
| 50 | Hiroto Saigo, Koji Tsuda: Iterative Subgraph Mining for Principal Component Analysis. ICDM 2008: 1007-1012 | |
| 49 | Sebastian Nowozin, Koji Tsuda: Frequent Subgraph Retrieval in Geometric Graph Databases. ICDM 2008: 953-958 | |
| 48 | Hiroto Saigo, Nicole Krämer, Koji Tsuda: Partial least squares regression for graph mining. KDD 2008: 578-586 | |
| 47 | 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 | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir: Weighted Substructure Mining for Image Analysis. CVPR 2007 | |
| 44 | Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda: Discriminative Subsequence Mining for Action Classification. ICCV 2007: 1-8 | |
| 43 | Koji Tsuda: Entire regularization paths for graph data. ICML 2007: 919-926 | |
| 42 | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir: Weighted Substructure Mining for Image Analysis. MLG 2007 | |
| 41 | Tsuyoshi Idé, Koji Tsuda: Change-Point Detection using Krylov Subspace Learning. SDM 2007 | |
| 40 | 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 | 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 | Hiroto Saigo, Takeaki Uno, Koji Tsuda: Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinformatics 23(18): 2455-2462 (2007) | |
| 2006 | ||
| 37 | Koji Tsuda, Taku Kudo: Clustering graphs by weighted substructure mining. ICML 2006: 953-960 | |
| 36 | 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 | 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 | 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 | Koji Tsuda, Hyunjung Shin, Bernhard Schölkopf: Fast protein classification with multiple networks. ECCB/JBI 2005: 65 | |
| 32 | Koji Tsuda: Propagating distributions on a hypergraph by dual information regularization. ICML 2005: 920-927 | |
| 31 | Tsuyoshi Kato, Koji Tsuda, Kiyoshi Asai: Selective integration of multiple biological data for supervised network inference. Bioinformatics 21(10): 2488-2495 (2005) | |
| 30 | Koji Tsuda, Gunnar Rätsch: Image reconstruction by linear programming. IEEE Transactions on Image Processing 14(6): 737-744 (2005) | |
| 29 | 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 | Gökhan H. Bakir, Alexander Zien, Koji Tsuda: Learning to Find Graph Pre-images. DAGM-Symposium 2004: 253-261 | |
| 27 | Koji Tsuda, William Stafford Noble: Learning kernels from biological networks by maximizing entropy. ISMB/ECCB (Supplement of Bioinformatics) 2004: 326-333 | |
| 26 | Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth: Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. NIPS 2004 | |
| 25 | Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai: A New Variational Framework for Rigid-Body Alignment. SSPR/SPR 2004: 171-179 | |
| 24 | 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 | Koji Tsuda, Gunnar Rätsch: Image Reconstruction by Linear Programming. NIPS 2003 | |
| 20 | 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 | 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 | Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller: Clustering with the Fisher Score. NIPS 2002: 729-736 | |
| 15 | Koji Tsuda, Shotaro Akaho, Kiyoshi Asai: Approximating Incomplete Kernel Matrices by the em Algorithm CoRR cs.LG/0211007: (2002) | |
| 14 | 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 | Volker Roth, Koji Tsuda: Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters. CVPR (1) 2001: 1120-1125 | |
| 12 | 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 | Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984 | |
| 10 | 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 | Koji Tsuda: The subspace method in Hilbert space. Systems and Computers in Japan 32(6): 55-61 (2001) | |
| 2000 | ||
| 8 | Koji Tsuda, Shotaro Akaho: Large Margin Classifier via Semiparametric Inference. IJCNN (2) 2000: 23-28 | |
| 1999 | ||
| 7 | Koji Tsuda: Support vector classifier with asymetric kernel function. ESANN 1999: 183-188 | |
| 6 | 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 | Koji Tsuda, Michihiko Minoh: A Nonparametric Density Model for Classification in a High Dimensional Space. ICDAR 1997: 1082-1087 | |
| 3 | 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 | Koji Tsuda, Michihiko Minoh, Katsuo Ikeda: Extracting straight lines by sequential fuzzy clustering. Pattern Recognition Letters 17(6): 643-649 (1996) | |
| 1995 | ||
| 1 | Koji Tsuda, Shuji Senda, Michihiko Minoh, Katsuo Ikeda: Clustering OCR-ed texts for browsing document image database. ICDAR 1995: 171-174 | |