Einoshin Suzuki
Einoshin Suzuki
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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
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
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
Autonomous Discovery of Reliable Exception Rules.
E Suzuki
KDD 97, 159-176, 1997
Statistical implicative analysis
R Gras, E Suzuki, F Guillet, F Spagnolo
Springer, 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
Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
X Wu, K Ramamohanarao, KB Korb
Springer-Verlag, 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
Undirected discovery of interesting exception rules
E Suzuki
International Journal of Pattern Recognition and Artificial Intelligence 16 …, 2002
Exceptional knowledge discovery in databases based on information theory
E Suzuki, M Shimura
Proceedings of the Second International Conference on Knowledge Discovery …, 1996
Unified algorithm for undirected discovery of exception rules
E Suzuki, JM Żytkow
International journal of intelligent systems 20 (7), 673-691, 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
Discovering interesting exception rules with rule pair
E Suzuki
Proceedings of the ECML/PKDD workshop on advances in inductive rule learning …, 2004
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
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
Unified algorithm for undirected discovery of exception rules
E Suzuki, JM Żytkow
Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000
Discovering unexpected exceptions: A stochastic approach
E Suzuki
Proc. Fourth int'l Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery …, 1996
Classifying actions based on histogram of oriented velocity vectors
S Boubou, E Suzuki
Journal of Intelligent Information Systems 44, 49-65, 2015
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table.
E Suzuki
J. Univers. Comput. Sci. 12 (6), 627-653, 2006
Bloomy decision tree for multi-objective classification
E Suzuki, M Gotoh, Y Choki
Principles of Data Mining and Knowledge Discovery: 5th European Conference …, 2001
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