2009 | ||
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49 | EE | Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda: On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. PAKDD 2009: 1030-1037 |
48 | EE | Takeaki Uno, Masashi Sugiyama, Koji Tsuda: Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method CoRR abs/0904.3151: (2009) |
2008 | ||
47 | EE | Hiroto Saigo, Koji Tsuda: Iterative Subgraph Mining for Principal Component Analysis. ICDM 2008: 1007-1012 |
46 | EE | Sebastian Nowozin, Koji Tsuda: Frequent Subgraph Retrieval in Geometric Graph Databases. ICDM 2008: 953-958 |
45 | EE | Hiroto Saigo, Nicole Krämer, Koji Tsuda: Partial least squares regression for graph mining. KDD 2008: 578-586 |
44 | EE | Koji Tsuda, Kenichi Kurihara: Graph Mining with Variational Dirichlet Process Mixture Models. SDM 2008: 432-442 |
2007 | ||
43 | Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007 | |
42 | EE | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir: Weighted Substructure Mining for Image Analysis. CVPR 2007 |
41 | EE | Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda: Discriminative Subsequence Mining for Action Classification. ICCV 2007: 1-8 |
40 | EE | Koji Tsuda: Entire regularization paths for graph data. ICML 2007: 919-926 |
39 | EE | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir: Weighted Substructure Mining for Image Analysis. MLG 2007 |
38 | EE | Tsuyoshi Idé, Koji Tsuda: Change-Point Detection using Krylov Subspace Learning. SDM 2007 |
37 | EE | Hiroto Saigo, Takeaki Uno, Koji Tsuda: Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinformatics 23(18): 2455-2462 (2007) |
2006 | ||
36 | EE | Koji Tsuda, Taku Kudo: Clustering graphs by weighted substructure mining. ICML 2006: 953-960 |
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 |