TAKIO KURITA

Last Updated :2024/02/02

Affiliations, Positions
Graduate School of Advanced Science and Engineering, Professor
Web Site
E-mail
tkuritahiroshima-u.ac.jp
Other Contact Details
1-4-1,Kagamiyama,Higashi-Hiroshima, Japan
TEL : (+81)82-424-6468 FAX : (+81)82-424-0758
Self-introduction
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 IEICE of Japan, Japanese Neural Network Society, The Japanease Societey of Artificial Intelligence.

Basic Information

Major Professional Backgrounds

  • 1981/04/01, 1990/09/30, National Institute of Advanced Industrial Science and Technology, Researcher
  • 1990/10/01, 2001/03/31, National Institute of Advanced Industrial Science and Technology
  • 2001/04/01, 2010/03/31, National Institute of Advanced Industrial Science and Technology
  • 2010/04/01, 2020/03/31, Hiroshima University, Institute of Engineering, Professor
  • 2002/04/01, 2010/03/31, University of Tsukuba, Graduate School of Systems and Information Engineering, Professor

Educational Backgrounds

  • Nagoya Institute of Technology, Japan, 1977/04, 1981/03

Academic Degrees

  • Doctor of Engineering, University of Tsukuba

Educational Activity

  • [Bachelor Degree Program] School of Informatics and Data Science : Department of Informatics and Data Science : Intelligence Science Program
  • [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program
  • [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Informatics and Data Science Program

In Charge of Primary Major Programs

  • Integrated Arts and Sciences
  • Information Engineering

Research Fields

  • Informatics;Human informatics;Intelligent informatics

Research Keywords

  • pattern recognition
  • machine learning
  • image recognition
  • neural network

Affiliated Academic Societies

Educational Activity

Course in Charge

  1. 2023, Liberal Arts Education Program1, 1Term, Linear AlgebraI
  2. 2023, Liberal Arts Education Program1, 3Term, Linear AlgebraII
  3. 2023, Undergraduate Education, Intensive, Basics of AI
  4. 2023, Undergraduate Education, 3Term, Artificial Intelligence and Machine Learning
  5. 2023, Undergraduate Education, 1Term, Data Science Seminar I
  6. 2023, Undergraduate Education, 2Term, Data Science Seminar II
  7. 2023, Undergraduate Education, Second Semester, Graduation Thesis
  8. 2023, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
  9. 2023, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
  10. 2023, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science A
  11. 2023, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science A
  12. 2023, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
  13. 2023, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
  14. 2023, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science B
  15. 2023, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science B
  16. 2023, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
  17. 2023, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
  18. 2023, Graduate Education (Doctoral Program) , Academic Year, Special Study on Informatics and Data Science

Research Activities

Academic Papers

  1. Data Expansion Approach with Attention Mechanism for Learning with Noisy Labels, INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 32(01), 202302
  2. Sample Selection Approach with Number of False Predictions for Learning with Noisy Labels, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E105D(10), 1759-1768, 202210
  3. Deep Neural Network Models for Colon Cancer Screening, CANCERS, 14(15), 202208
  4. Weakly-Supervised Action Localization, and Action Recognition Using Global-Local Attention of 3D CNN, INTERNATIONAL JOURNAL OF COMPUTER VISION, 130(10), 2349-2363, 202210
  5. Decomposition of Invariant and Variant Features by using Convolutional Autoencoder, In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science, vol 1578. Springer, Cham., 1578, 97-111, 20220517
  6. Optimization of Re-ranking based on k-reciprocal for Vehicle Re-identification, In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science, 1578, 300-311, 20220701
  7. Pixel Relationships-Based Regularizer for Retinal Vessel Image Segmentation, 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), 1125-1129, 20220601
  8. Summary of Works on Image Classification with Noisy Labels, 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), 1120-1124, 20220601
  9. Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels, In: Mantoro T., Lee M., Ayu M.A., Wong K.W., Hidayanto A.N. (eds) Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science, vol 1516. Springer, Cham., 522-529, 20211202
  10. q-Softplus Function: Extensions of Activation Function and Loss Function by using q-Space, Proc of ACPR2021. In: Wallraven, C., Liu, Q., Nagahara, H. (eds) Pattern Recognition. ACPR 2021. Lecture Notes in Computer Science, vol 13189. Springer, Cham., 31-44, 20220510
  11. Invariant Feature Extraction for CNN Classifier by using Gradient Reversal Layer, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 851-856, 20220106
  12. Parametric q-Gaussian distributed stochastic neighbor embedding with Convolutional Neural Network, 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 20210920
  13. Age Estimation from the Age Period by using Triplet Network, In: Jeong H., Sumi K. (eds) Frontiers of Computer Vision. IW-FCV 2021. Communications in Computer and Information Science, 1405, 81-92, 20210615
  14. Convolutional Neural Network based on Temporal Pose Features for Surgical Procedure Recognition, Proc. Of The 52nd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS '20), 60-64, 20210101
  15. Noise Reduction of SEM Images using U-net with SSIM Loss Function, Proc. Of The 52nd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS '20), 65-72, 20210101
  16. Graph Laplacian Regularization based on the Differences of Neighboring Pixels for Anime-like Images Super-Resolution and Fundus Image Segmentation, International Journal of Intelligent Engineering and Systems, 15(1), 20220101
  17. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D(10), 2870-2874, 201010
  18. ★, Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45(2), 707-719, 201202
  19. ★, Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7(3), 20120301
  20. Analysis of texture characteristics associated with visual complexity perception, OPTICAL REVIEW, 19(5), 306-314, 201209
  21. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A(10), 1759-1767, 201210
  22. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12, 20120116
  23. Improvements of Local Descriptor in HOG/SIFT by BOF Approach, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E97D(5), 1293-1303, 201405
  24. Improvements to the descriptor of SIFT by BOF approaches, The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), 95-99, 201311
  25. Modeling the Perception of Visual Complexity in Texture Images, International Journal of Affective Engineering,, 12(2), 223-231, 2013
  26. Pixel-Pair Features Selection for Vehicle Tracking, The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), 471-475, 201311
  27. BOG: an extension of HOG by interpreting it as bag of features, Proc. of MAV2013 IAPR International Conference on Machine Vision Applications, 415-418, 201305
  28. Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models, SAR and QSAR in Environmental Research, 24(7), 565-580, 2013
  29. ★, Sparse Logistic Discriminant Analysis, Prof. of IEEE International Conference on System, Man, and Cybernetics, 201310
  30. Visual complexity assessment of painting images, Proc. 2013 IEEE International Conference on Image Processing (ICIP 2013), 388-392, 201309
  31. Image Classification using a Mixture of Subspace Models, IPSJ Transactions on Computer Vision and Application, 6, 93-97, 201407
  32. Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model, Proc. of Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR2014), 133-142, 201408
  33. Extraction of Dimension Reduced Features from Empirical Kernel Vector, Proc. of the 21th International Conference on Neural Information Processing (ICONIP2014), Part II, LNCS 8835(Part II, LNCS 8835), 9-16, 201411
  34. Randomized and Dimension Reduced Kernel Generation for Support Vector Machine, Proc. of the 46th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 201411
  35. Nonlinear Discriminant Analysis Using k Nearest Neighbor Estimation, Proc. of 21st Japan-Korea joint Workshop on Frontiers of Compputer Vision (FCV2015), 201501
  36. Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 37(7), 1469-1479, 201507
  37. An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories, BioSystems, 100(1), 39-46, 201004
  38. Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling, Molecular Diversity, 14(4), 789-802, 201011
  39. A comparison of SVM-based evolutionary methods for multicategory cancer diagnosis using microarray gene expression data, Journal of Systemics, Cybernatics and Informatics, 9(6), 63-68, 201109
  40. Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System, SAE International Journal of Passenger Cars - Electron. Electr. Syst., 5(1), 146-153, 2012
  41. Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines, International Journal of Computer Theory and Engineering, 5(1), 24-30, 201302
  42. Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models, SAR and QSAR in Environmental Research, 24(7), 565-580, 201301
  43. Combined Feature Extraction from Global/Local Statistics of Visual Words using Relevant Operations, Proc. of the 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010), 492-497, 201002
  44. Finding a sub-optimal combination of the binary classifiers for multi-class classification problems, Proc. of the 16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2010), 336-341, 201002
  45. Online Selection of Discriminative Pixel-Pair Feature for Tracking, Proc. of IASTED Conf. on Signal Processing, Pattern Recognition and Applications (SPPRA 2010), 678-685, 201002
  46. A comparison of evolutionary methods based on SVM error bound theories for multicategory microarray gene expression data, Proc. of the International Multi-Conference on Complexity, Informatics and Cybernatics, Florida, USA, 295-299, 201004
  47. Scene classification using spatial relationship between local posterior probabilities, Proc. of International Conference on Computer Vision Theory and Applications (VISAPP2010), 2, 325-332, 201005
  48. Visual Tracking Algorithm using Pixel-Pair Feature, Proc. of Inter. Conf. on Pattern Recognition (ICPR2010), 1808-1811, 201008
  49. Action recognition using three-way cross-correlations feature of local motion attributes, Proc. of Inter. Conf. on Pattern Recognition (ICPR2010), 1731-1734, 201008
  50. Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines, Proc. of The 2nd International Workshop on Video Event Categorization, Tagging and Retrieval, November 8-12, 2010, Queenstown, New Zealand, 201011
  51. Road Plane Detection using Differential Homography Estimated by Pair Feature Matching of Local Regions, Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA2011), February 16 – 18, 2011 Innsbruck, Austria, 201102
  52. ★, Discriminant kernel derived from the optimum nonlinear discriminant analysis, Proceedings of International Joint Conference on Neural Networks (IJCNN2011), San Jose, California, USA, July 31 – August 5, 2011, 299-306, 201108
  53. Multiple Random Subset-Kernel Learning, Proc. of 14th International Conference on Computer Analysis of Images and Patterns (CAIP2011), Seville (Spain), 201108
  54. Visual Complexity Perception and Texture Image Characteristics, Proc. of 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE 2011), 201109
  55. Robust and Precise Measurement Method of Vehicles ans Motorcycles for Cooperative Driving Safety Support System with Combination of HOG-SVM Detection and Discreminative Pixel-Pair Tracking, Proc. of 18th ITS World Congress on Intelligent Transportation Systems, Orland, 20111020
  56. Ensemble Random-Subset SVM, Proc. of the International Joint Conference on Computational Intelligence (NCTA2011),, 334-339, 20111024
  57. Discriminant Appearance Weighting for Action Recognition, Proc. of The First Asian Conference on Pattern Recognition (ACPR'11), 7-11, 201111
  58. Discriminant Kernels based Support Vector Machine, Proc. of The First Asian Conference on Pattern Recognition (ACPR'11), 159-163, 201111
  59. Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System, SAE 2012 World Congress & Exhibition, 2012, Detroit, 20120425
  60. Analysis of Visual Complexity Perception to the Texture Images, International Conference on Kansei Engineering and Emotion Research(KEER2012), 216-224, 201205
  61. Road Region Detection by Spatio-Temporal Graph Segmentation of Optical Flows using On-Board Camera, Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA2012), 20120618
  62. Automatic Assessment of Mandibular Bone Using Support Vector Machine for the Diagnosis of Osteoporosis, Proc. of 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC2012), 214-219, 20121015
  63. Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression, Proc. of Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), 201211
  64. Self-training with unlabeld regions for NBI image recognition, Prof. of 21st International Conference on Pattern Recognition (ICPR 2012), 25-28, 201211
  65. Modeling Visual Complexity of Textures Associated with Texture Characteristics, 2012 International Conference of Information Science and Computer Applications (ICISCA 2012), 201211
  66. Randomized and Dimension Reduced Radial Basis Features for Support Vector Machine, Trans. of the Institute of Systems, Control and Information Engineers (ISCIE), 29(1), 1-8, 201601
  67. Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches, Dentomaxillofacial Radiology, 201606
  68. Transfer Learning for Bag-of-Visual Words Approach to NBI endoscopic image classification, Proc. of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE Engineering in Medicine and Biology Society in MiCo, Milano Conference Center, Milano, Italy during August 25-29, 2015., 20150825
  69. Non-negative Sparse Decomposition of Music Signal using Pretrained Dictionary of Feature Vectors of Possible Tones from Different Instruments, Proc. of 12th Sound and Music Computing Conference, July 26-August 1, 2015, Maynooth University, Ireland., 20150726
  70. Multiresolution Local Autocorrelation of Optical Flows over time for Action Recognition, Proc. of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015), Hong Kong, October 9-12, 2015., 20151009
  71. Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features, Proc. of 6th International Workshop on Machine Learning in Medical Imaging (MLMI 2015), October 5th to 9th, 2015, Munich, Germany., 20151005
  72. Soft Local Binary Patterns, Proc. of 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR 2015), Fukuoka Japan, Nov. 13-15, 2015., 70-75, 20151113
  73. Multiple Kernel Learning for Text Detection in Natural Scene Images, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), 70-75, 20160217
  74. Ensemble SVMs for Region Evaluation of iPS Cells Image, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), 252-257, 20160217
  75. Integration of Supervised and Unsupervised Learning for Deep Neural Network, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), 101-106, 20160217
  76. Interior point method with ADMM for MRF optimization, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), 146-149, 20160217
  77. Optical tomography with discretized path integrals: a comparison with log-barrier and primal-dual methods, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), 378-382, 20160217
  78. Low Level Visual Extraction by Learning of Multiple Tasks for Convolutional Neural Networks, Proc. of International Joint Conference on Neural Networks (IJCNN2016), in IEEE World Congress on Computational Intelligence, 24-29 July 2016, Vancouver, Canada, 3620-3627, 20160724
  79. Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D(11), 2734-2744, 201611
  80. Marker based simple non-overlapping camera calibration, Proc. of IEEE International Conference on Image Processing (ICIP), 1180-1184, 20160925
  81. Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution, Proc. of 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), Oct. 17-21, Athens, Greece, 20161017
  82. Discriminative Subtree Selection for NBI Endoscopic Image Labeling, Proc. of Workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis (MCBMIIA2016), Taipei, Taiwan, Nov. 24, 2016., 20161124
  83. Self-Validating and Adjusting Pupil Tracker by Gabor filter tuning, Proc. of IW-FCV-2017, 20170202
  84. Hierachical Region Merging with Region Adjacency Graph Constraints using Hypercolumns extracted from the trained CNN, Proc. Of IW-FCV-2017, 20170202
  85. Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D(7), 1494-1504, 201706
  86. Tree-Wise Discriminative Subtree Selection for Texture Image Labeling, IEEE ACCESS, 5, 13617-13634, 2017
  87. Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning, EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 20171215
  88. Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells, PLOS ONE, 12(12), 20171227
  89. Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques, COMPUTERS IN BIOLOGY AND MEDICINE, 94, 55-64, 20180301
  90. Marker-based non-overlapping camera calibration methods with additional support camera views, IMAGE AND VISION COMPUTING, 70, 46-54, 201802
  91. Logistic Regression Analysis for the Material Design of Chiral Crystals, CHEMISTRY LETTERS, 47(5), 611-612, 201812
  92. Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis, Trans. of the Institute of Systems, Control and Information Engineers (ISCIE), 31(1), 10-20, 201706
  93. Improvement of feature localization for facial expressions by adding noise, International Journal of Affective Engineering, 17(1), 27-37, 201801
  94. Improvement of Learning for CNN with ReLU Activation by Sparse Regularization, Proc. of the International Joint Conference on Neural Networks (IJCNN2017), May 14-19, Anchorage, Alaska, 20170516
  95. Temporal evolution of motion superpixel for video classification, Proc. of The 3rd IEEE Interna8onal Conference on Cyberne8cs (CYBCONF-2017), 20170622
  96. Deep CNN with Graph Laplacian Regularization for Multi-lable Image Annotation, Proc. of 14th International Conference on Image Analysis and Recognition (ICIAR2017), July 5-7, 2017, Montreal, Canada, 20170705
  97. Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network, Proc. of ICONIP2017, Part II, LNCS 10635, 217-225, 20171014
  98. Image Inpainting by Recursive Estimation using Neural Network and Wavelet Transformation, Proc. of ICONIP2017, Part VI, LNCS 10639, 652-661, 20171014
  99. Multi-label Image Annotation via CNN with Graph Laplacian Regularization based on Word2Vec, Proc. of the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, 20180221
  100. Scene Classification based on Histogram of Detected Objects, Proc. of the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, 20180221
  101. Removal of Unimportant Pixels for Classification with Deep Convolutional Neural Network, Proc. of the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, 20180221
  102. Facial expression intensity estimation using Siamese and triplet networks, NEUROCOMPUTING, 313, 143-154, 20181103
  103. Mixture of counting CNNs, MACHINE VISION AND APPLICATIONS, 29(7), 1119-1126, 201810
  104. Deep Packet Flow: Action Recognition via Multiresolution Deep Wavelet Packet of Local Dense Optical Flows, JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 91(6), 609-625, 201906
  105. Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells, PLOS ONE, 12(12), 2017
  106. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D(10), 2870-2874, 2010
  107. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45(2), 707-719, 2012
  108. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A(10), 1759-1767, 2012
  109. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12, 2012
  110. Improvements of Local Descriptor in HOG/SIFT by BOF Approach, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E97D(5), 1293-1303, 2014
  111. Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches, DENTOMAXILLOFACIAL RADIOLOGY, 45(7), 2016
  112. Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D(11), 2734-2744, 2016
  113. Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D(7), 1494-1504, 2017
  114. Tree-Wise Discriminative Subtree Selection for Texture Image Labeling, IEEE ACCESS, 5, 13617-13634, 2017
  115. Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis, Trans. of the Institute of Systems, Control and Information Engineers (ISCIE), 31(1), 10-11, 201801
  116. Segmenting Tooth Components in Dental X-Ray Images Using Gaussian Kernel-Based Conditional Spatial Fuzzy C-Means Clustering Algorithm, International Journal of Intelligent Engineering and Systems, 12(3), 108-10, 201906
  117. Automatic Segmentation of Mandibular Inferior Cortical Bone on Cone-Beam CT Images Based on Histogram Thresholding and Polynomial Fitting, International Journal of Intelligent Engineering and Systems, 12(4), 130-12, 201908
  118. Texture Segmentation using Siamese Network and Hierarchical Region Merging, Proc. of the 24th International Conference on Pattern Recognition in Beijing, China, August 2018 (ICPR2018), 201808
  119. Convolutional Neural Network with Discriminant Criterion for Input of each Neuron in Output Layer, Proc. of 25th International Conference on Neural Information Processing (ICONIP2018), Siem Reap, Cambodia, December 13-16, 2018, LNCS 11301, 201812
  120. Mixup of Feature Maps in a Hidden Layer for Training of Convolutional Neural Network, Proc. of 25th International Conference on Neural information Processing (ICONIP2018), Siem Reap Cambodia, Decemebr 13-16, 2018, LNCS 11302, 635-644, 201812
  121. 3D Region Merging for Segmentation of Teeth on Cone-Beam Computed Tomography Images, Proc. of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018 (SCIS-ISIS2018), Toyama, Japan, Decemebr 5-8, 2018, 201812
  122. Music score estimation algorithm using octave hierarchy defined on logarithmic frequency, Proc of IW-FCV2019, 201902
  123. Action Classification Based on 2D Coordinates Obtained by Real-time Pose Estimation, Proc. of IW-FCV2019, 201902
  124. Video Super Resolution with Estimation of Motion Information by Using Higher Resolution Images Obtained by Single Image Super Resolution, Proc. of the 2019 International Joint Conference on Neural Networks (IJCNN2019), 201907
  125. Multi-projection deep learning network for segmentation of 3D medical images, PATTERN RECOGNITION LETTERS, 125, 791-797, 20190701
  126. Sparse discriminant analysis based on estimation of posterior probabilities, JOURNAL OF APPLIED STATISTICS, 46(15), 2761-2785, 20191118
  127. Correlation Net: Spatiotemporal multimodal deep learning for action recognition, SIGNAL PROCESSING-IMAGE COMMUNICATION, 82, 202003
  128. Robust pruning for efficient CNNs A, PATTERN RECOGNITION LETTERS, 135, 90-98, 202007
  129. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D(10), 2870-2874, 2010
  130. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D(10), 2870-2874, 2010
  131. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D(10), 2870-2874, 2010
  132. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45(2), 707-719, 2012
  133. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45(2), 707-719, 2012
  134. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45(2), 707-719, 2012
  135. Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7(3), 2012
  136. Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7(3), 2012
  137. Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7(3), 2012
  138. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A(10), 1759-1767, 2012
  139. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A(10), 1759-1767, 2012
  140. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A(10), 1759-1767, 2012
  141. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12, 2012
  142. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12, 2012
  143. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12, 2012
  144. Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques, COMPUTERS IN BIOLOGY AND MEDICINE, 94, 55-64, 2018
  145. Deep Packet Flow: Action Recognition via Multiresolution Deep Wavelet Packet of Local Dense Optical Flows, JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 91(6), 609-625, 201906
  146. Sparse discriminant analysis based on estimation of posterior probabilities, JOURNAL OF APPLIED STATISTICS, 46(15), 2761-2785, 201905
  147. Multi-projection deep learning network for segmentation of 3D medical images, PATTERN RECOGNITION LETTERS, 125, 791-797, 201906
  148. Hilbert Vector Convolutional Neural Network: Two-Dimensional Neural Network on One-Dimensional Data, Proc. of 28th International Conference on Artificial Neural Networks (ICANN2019), 201909
  149. Multi instance learning via deep CNN for multi-class recognition of Alzheimer's disease, Proc. of 2019 IEEE 11th International Workshop on Computational Intelligence and Applications, (IEEE-IWCIA2019), 201911
  150. Detection of one dimensional anomalies using a vector-based convolutional autoencoder, Proc. of The 5th Asian Conference on Pattern Recognition (ACPR2019), 201911
  151. Learning with incomplete labels for multi-label image annotation using CNN and restricted Boltzmann machines, Proc. of 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP2019), 201912
  152. Siamese Network for Classification with Optimization of ROC-AUC,, Proc. of 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP2019), 201912
  153. U-Net with Graph Based Smoothing Regularizer for Small Vessel Segmentation on Fundus Images, Proc. of 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society (ICONIP2019), 201912
  154. Analysis of Information Flow in Hidden Layers of the Trained Neural Network by Canonical Correlation Analysis, Prof. of The International Workshop on Frontiers of Computer Vision (IW-FCV2020), 202002
  155. Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences, Prof. of The International Workshop on Frontiers of Computer Vision (IW-FCV2020), 202002
  156. Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection, Prof. of The International Workshop on Frontiers of Computer Vision (IW-FCV2020), 202002
  157. Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks, Proc. of The International Joint Conference on Neural Networks (IJCNN2020), 202007
  158. Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network, Proc. of The International Joint Conference on Neural Networks (IJCNN2020), 202007
  159. Triplet Loss for Knowledge Distillation, Proc. of The International Joint Conference on Neural Networks (IJCNN2020), 202007
  160. Deep learning enables automated localization of the metastatic lymph node for thyroid cancer on I-131 post-ablation whole-body planar scans, SCIENTIFIC REPORTS, 10(1), 20200508
  161. Prediction of Sequential Organelles Localization under Imbalance using A Balanced Deep U-Net, SCIENTIFIC REPORTS, 10(1), 20200214
  162. Completion of Missing Labels for Multi-Label Annotation by a Unified Graph Laplacian Regularization, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E103D(10), 2154-2161, 202010
  163. Mixture of experts with convolutional and variational autoencoders for anomaly detection, APPLIED INTELLIGENCE, 51(6), 3241-3254, 202106
  164. Deep Metric Learning for Multi-Label and Multi-Object Image Retrieval, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E104D(6), 873-880, 202106
  165. Non-negative Matrix Factorization of a set of Economic Time Series with Graph Based Smoothing of Basis Vectors and Sparseness of the Coefficients, Proc. Of IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 11-14, 2020. Toronto, Canada, 824-829, 20201011
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  167. Filter Pruning using Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks, Proc. of 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, Jan 10-15, 2020, 1089-1095, 20210114
  168. Channel Planting for Deep Neural Networks using Knowledge Distillation, Proc. of 2020 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, Jan 10-15, 2020, 7573-7579, 20210113
  169. Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation, Proc. Of The International Workshop on Frontiers of Computer Vision (IW-FCV2021), 20210222
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  172. Extensive framework based on novel convolutional and variational autoencoder based on maximization of mutual information for anomaly detection, NEURAL COMPUTING & APPLICATIONS, 33(20), 13785-13807, 202110
  173. Leveraging network using controlled weight learning approach for thyroid cancer lymph node detection, BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 41(4), 1589-1600, 2021
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Publications such as books

  1. 2014/05, Computer Vision: A Reference Guide, Principal Component Analysis (PCA), Springer, 2014, 5, Dictionary/Encyclopedia, Joint work, English, Takio Kurita, 978-0387307718, 4

Invited Lecture, Oral Presentation, Poster Presentation

  1. Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis, Akinori Hidaka, Takio Kurita, the 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), 2015/12/05, Without Invitation, English, Waikiki Beach Marriott Resort & Spa, Honolulu, Hawaii, USA
  2. 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), 2015/12/17, Without Invitation, English, National University of Singapore

Awards

  1. 2021/02/23, The 27th International Workshop on Frontiers of Computer Vision, Best Paper Award, Soon Ki Jung (General Chair),Hieyong Jeong (Program Chair), Robust Training of Deep Neural Networks with Noisy Labels by Graph Label Propagation
  2. 2015/01/30, Best Paper Award of the 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision, The 21th Japan-Korea Joint Workshop on Frontiers of Computer Vision, Nonlinear Discriminant Anlaysis Using k Nearest Neighbor Estimation