Takio Kurita

J-GLOBAL         Last updated: Aug 16, 2019 at 02:57
Takio Kurita
Hiroshima University
Doctor of Engineering(University of Tsukuba)
Research funding number


He received the B.Eng. degree from Nagoya Institute of Technology and the Dr. Eng. degree from the University of Tsukuba, in 1981 and in 1993, respectively. He joined the Electrotechnical Laboratory, AIST, MITI in 1981. From 1990 to 1991 he was a visiting research scientist at Institute for Information Technology, National Research Council Canada. From 2001 to 2009, he was a deputy director of Nueroscience Research Institute, National Institute of Advanced Industrial Science and Technology (AIST). Also he was a Professor at Graduate School of Systems and Information Engineering, University of Tsukuba from 2002 to 2009. He is currently a Professor at Hiroshima University. His current research interests include statistical pattern recognition and its applications to image recognition. He is a member of the IEEE, the IPSJ, the IEICE of Japan, Japanese Neural Network Society, The Japanease Societey of Artificial Intelligence.

Research Areas


Academic & Professional Experience

Apr 1981
Sep 1990
Researcher, National Institute of Advanced Industrial Science and Technology
Oct 1990
Mar 2001
National Institute of Advanced Industrial Science and Technology
Apr 2001
Mar 2010
National Institute of Advanced Industrial Science and Technology
Apr 2002
Mar 2010
Professor, Graduate School of Systems and Information Engineering, University of Tsukuba
Apr 2010
Professor, Institute of Engineering, Hiroshima University


Apr 1977
Mar 1981
Nagoya Institute of Technology

Awards & Honors

Jan 2015
Nonlinear Discriminant Anlaysis Using k Nearest Neighbor Estimation, Best Paper Award of the 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision
Winner: Xuezhen Li and Takio Kurita
In recognition of promising work and remarkable presentation in FCV2015

Published Papers

An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories
Rameswar Debnath., Takio Kurita
BioSystems   100(1) 39-46   Apr 2010   [Refereed]
Matsukawa, Tetsu; Kurita, Takio
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E93D(10) 2870-2874   Oct 2010   [Refereed]
This paper presents a combined feature extraction method to improve the performance of bag-of-features image classification. We apply 10 relevant operations to global/local statistics of visual words. Because the pairwise combination of visual wor...
Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling
K.Tanabe, B.Lucic, D.Amic, T.Kurita, M.Kaihara, N.Onodera, T.Suzuki
Molecular Diversity   14(4) 789-802   Nov 2010   [Refereed]
A comparison of SVM-based evolutionary methods for multicategory cancer diagnosis using microarray gene expression data
Rameswar Debnath, Haruhisa Takahashi and Takio Kurita
Journal of Systemics, Cybernatics and Informatics   9(6) 63-68   Sep 2011   [Refereed]
Matsukawa, Tetsu; Kurita, Takio
PATTERN RECOGNITION   45(2) 707-719   Feb 2012   [Refereed]
This paper presents a novel image representation method for generic object recognition by using higher-order local autocorrelations on posterior probability images. The proposed method is an extension of the bag-of-features approach to posterior p...
Watanabe, Kenji; Hidaka, Akinori; Otsu, Nobuyuki; Kurita, Takio
PLOS ONE   7(3)    Mar 2012   [Refereed]
In time-resolved spectroscopy, composite signal sequences representing energy transfer in fluorescence materials are measured, and the physical characteristics of the materials are analyzed. Each signal sequence is represented by a sum of non-nega...
C. Tsuchiya, S. Tanaka, H. Furusho, K. Nishida, and T. Kurita
SAE International Journal of Passenger Cars - Electron. Electr. Syst.   5(1) 146-153   2012   [Refereed]
Guo, Xiaoying; Asano, Chie Muraki; Asano, Akira; Kurita, Takio; Li, Liang
OPTICAL REVIEW   19(5) 306-314   Sep 2012   [Refereed]
In our previous work we determined that five important characteristics affect the perception of visual complexity of a texture: regularity, roughness, directionality, density, and understandability. In this paper, a set of objective methods for me...
Yang, Lei; Asano, Akira; Li, Liang; Muraki Asano, Chie; Kurita, Takio
In this paper, we propose a novel texture analysis method capable of estimating multiple primitives, which are elements repetitively arranged to compose a texture, in multi-structured textures. The approach is based on a texture description model ...
Kavitha, M. S.; Asano, Akira; Taguchi, Akira; Kurita, Takio; Sanada, Mitsuhiro
BMC MEDICAL IMAGING   12    Jan 2012   [Refereed]
Background: Early diagnosis of osteoporosis can potentially decrease the risk of fractures and improve the quality of life. Detection of thin inferior cortices of the mandible on dental panoramic radiographs could be useful for identifying postmen...

Conference Activities & Talks

Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis
Akinori Hidaka
the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15)   5 Dec 2015   
Kernel function used in the optimum nonlinear discriminant analysis
Takio Kurita
The 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015)   17 Dec 2015