| Hierarchical gaussian descriptor for person re-identification T Matsukawa, T Okabe, E Suzuki, Y Sato Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 703 | 2016 |
| Person re-identification using CNN features learned from combination of attributes T Matsukawa, E Suzuki 2016 23rd international conference on pattern recognition (ICPR), 2428-2433, 2016 | 219 | 2016 |
| Exception rule mining with a relative interestingness measure F Hussain, H Liu, E Suzuki, H Lu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 86-97, 2000 | 194 | 2000 |
| Autonomous Discovery of Reliable Exception Rules. E Suzuki KDD 97, 159-176, 1997 | 180 | 1997 |
| Statistical implicative analysis R Gras, E Suzuki, F Guillet, F Spagnolo Springer, 2008 | 179 | 2008 |
| Discovery of surprising exception rules based on intensity of implication E Suzuki, Y Kodratoff Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998 | 121 | 1998 |
| Decision-tree induction from time-series data based on a standard-example split test Y Yamada, E Suzuki, H Yokoi, K Takabayashi Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 109 | 2003 |
| Flexible threshold voltage FinFETs with independent double gates and an ideal rectangular cross-section Si-Fin channel YX Liu, M Masahara, K Ishii, T Tsutsumi, T Sekigawa, H Takashima, ... IEEE International Electron Devices Meeting 2003, 18.8. 1-18.8. 3, 2003 | 100 | 2003 |
| Undirected discovery of interesting exception rules E Suzuki International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002 | 84 | 2002 |
| Exceptional knowledge discovery in databases based on information theory E Suzuki, M Shimura Proceedings of the Second International Conference on Knowledge Discovery …, 1996 | 69 | 1996 |
| Unified algorithm for undirected discovery of exception rules E Suzuki, JM Żytkow International journal of intelligent systems 20 (7), 673-691, 2005 | 66 | 2005 |
| Discovering community-oriented roles of nodes in a social network BH Chou, E Suzuki International Conference on Data Warehousing and Knowledge Discovery, 52-64, 2010 | 52 | 2010 |
| Detecting interesting exceptions from medical test data with visual summarization E Suzuki, T Watanabe, H Yokoi, K Takabayashi Third IEEE International Conference on Data Mining, 315-322, 2003 | 47 | 2003 |
| Discovering interesting exception rules with rule pair E Suzuki Proceedings of the ECML/PKDD workshop on advances in inductive rule learning …, 2004 | 46 | 2004 |
| Hierarchical gaussian descriptors with application to person re-identification T Matsukawa, T Okabe, E Suzuki, Y Sato IEEE transactions on pattern analysis and machine intelligence 42 (9), 2179-2194, 2019 | 45 | 2019 |
| Unified algorithm for undirected discovery of exception rules E Suzuki, JM Żytkow Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000 | 38 | 2000 |
| Classifying actions based on histogram of oriented velocity vectors S Boubou, E Suzuki Journal of Intelligent Information Systems 44, 49-65, 2015 | 36 | 2015 |
| Discovering unexpected exceptions: A stochastic approach E Suzuki Proc. Fourth int'l Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery …, 1996 | 36 | 1996 |
| Bloomy decision tree for multi-objective classification E Suzuki, M Gotoh, Y Choki Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001 | 35 | 2001 |
| Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table. E Suzuki J. Univers. Comput. Sci. 12 (6), 627-653, 2006 | 34 | 2006 |
Tetsu MatsukawaKyushu University在 inf.kyushu-u.ac.jp 的电子邮件经过验证
