| A fast hierarchical alternating least squares algorithm for orthogonal nonnegative matrix factorization K Kimura, Y Tanaka, M Kudo Asian Conference on Machine Learning, 129-141, 2015 | 47 | 2015 |
| Multi-label classification with meta-label-specific features L Sun, M Kudo, K Kimura 2016 23rd International conference on pattern recognition (ICPR), 1612-1617, 2016 | 41 | 2016 |
| A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint K Kimura, M Kudo, Y Tanaka Machine learning 103, 285-306, 2016 | 24 | 2016 |
| Fast random k-labelsets for large-scale multi-label classification K Kimura, M Kudo, L Sun, S Koujaku 2016 23rd International Conference on Pattern Recognition (ICPR), 438-443, 2016 | 19 | 2016 |
| Mlc toolbox: A matlab/octave library for multi-label classification K Kimura, L Sun, M Kudo arXiv preprint arXiv:1704.02592, 2017 | 16 | 2017 |
| Kernelized supervised laplacian eigenmap for visualization and classification of multi-label data M Tai, M Kudo, A Tanaka, H Imai, K Kimura Pattern Recognition 123, 108399, 2022 | 15 | 2022 |
| READER: robust semi-supervised multi-label dimension reduction L Sun, M Kudo, K Kimura IEICE TRANSACTIONS on Information and Systems 100 (10), 2597-2604, 2017 | 13 | 2017 |
| Simultaneous nonlinear label-instance embedding for multi-label classification K Kimura, M Kudo, L Sun Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2016 | 12 | 2016 |
| A Scalable Clustering-Based Local Multi-Label Classification Method. L Sun, M Kudo, K Kimura ECAI, 261-268, 2016 | 10 | 2016 |
| Variable selection for efficient nonnegative tensor factorization K Kimura, M Kudo 2015 IEEE International Conference on Data Mining, 805-810, 2015 | 7 | 2015 |
| Dimension reduction using nonnegative matrix tri-factorization in multi-label classification K Kimura, M Kudo, L Sun Proceedings of the international conference on parallel and distributed …, 2015 | 5 | 2015 |
| Non-negative matrix factorization with sparse features K Kimura, T Yoshida 2011 IEEE International Conference on Granular Computing, 324-329, 2011 | 5 | 2011 |
| Robust embedding regression for semi-supervised learning J Bao, M Kudo, K Kimura, L Sun Pattern Recognition 145, 109894, 2024 | 3 | 2024 |
| Panel-Sized TFT-LCD Column Driver O Ishibashi, M Iriguchi, K Kimura, J Ishii, D Sasaki, H Imai, H Tsuchi, ... 2006 IEEE International Solid State Circuits Conference-Digest of Technical …, 2006 | 3 | 2006 |
| Sensor data simulation with wandering behavior for the elderly living alone K Tanaka, M Kudo, K Kimura 2022 26th International Conference on Pattern Recognition (ICPR), 885-891, 2022 | 2 | 2022 |
| Locality in multi-label classification problems B Norov-Erdene, M Kudo, L Sun, K Kimura 2016 23rd International Conference on Pattern Recognition (ICPR), 2319-2324, 2016 | 2 | 2016 |
| Redirected transfer learning for robust multi-layer subspace learning J Bao, M Kudo, K Kimura, L Sun Pattern Analysis and Applications 27 (1), 1-19, 2024 | 1 | 2024 |
| Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization W Lin, J Wang, L Sun, M Kudo, K Kimura 2023 IEEE International Conference on Data Mining (ICDM), 398-407, 2023 | 1 | 2023 |
| Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings M Kudo, K Kimura, S Morishita, L Sun Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2022 | 1 | 2022 |
| RELATION BETWEEN PREDICTED REFRACTORINESS BY THERMAL EXPANSION CURVES OF AMAKUSA POTTERY STONE AND ITS MINERAL COMPOSITIONS. K Kimura, H Tateyama, O Ishibashi J. CERAM. SOC. JAP. J. Ceram. Soc. Jap. 95 (11), 1134, 1987 | 1 | 1987 |
Mineichi KudoProfessor of Computer Science, Hokkaido UniversityDirección de correo verificada de ist.hokudai.ac.jp
