栗田 多喜夫TAKIO KURITA

Last Updated :2023/03/03

所属・職名
大学院先進理工系科学研究科　教授
ホームページ
http://home.hiroshima-u.ac.jp/tkurita/
メールアドレス
tkuritahiroshima-u.ac.jp
その他連絡先
東広島市鏡山一丁目４番１号総合科学部C719
TEL:082-424-6468 FAX:082-424-0758
自己紹介
昭和33年4月18日生. 昭和56年3月名古屋工業大学電子工学科卒業. 博士(工学). 昭和56年4月工業技術院電子技術総合研究所研究員. 平成2年10月電子技術総合研究所主任研究官. 平成13年4月産業技術総合研究所脳神経情報研究部門副研究部門長．平成14年４月筑波大学大学院システム情報工学研究科連携大学院教授．平成22年4月広島大学大学院工学研究院情報部門教授となり現在に至る. 平成2年4月より1年間,カナダ国立科学研究協議会（ンRC）招聘研究員. 主として, 統計的パターン認識とその画像認識への応用に関する研究に従事. IEEE, 電子情報通信学会、日本神経回路学会、人工知能学会等の会員.

基本情報

主な職歴

  • 1981年04月01日, 1990年09月30日, 工業技術院, 電子技術総合研究所, 研究員
  • 1990年10月01日, 2001年03月31日, 工業技術院, 電子技術総合研究所, 主任研究官
  • 2001年04月01日, 2010年03月31日, 産業技術総合研究所, 脳神経情報研究部門, 副研究部門長
  • 2010年04月01日, 2020年03月31日, 広島大学, 大学院工学研究院, 教授
  • 2002年04月01日, 2010年03月31日, 筑波大学, 大学院システム情報工学研究科, 連携大学院教授

学歴

  • 名古屋工業大学, 工学部第一部, 電子工学科, 日本, 1977年04月, 1981年03月

学位

  • 博士（工学）　(筑波大学)

教育担当

  • 【学士課程】 情報科学部 : 情報科学科 : 知能科学プログラム
  • 【博士課程前期】 先進理工系科学研究科 : 先進理工系科学専攻 : 情報科学プログラム
  • 【博士課程後期】 先進理工系科学研究科 : 先進理工系科学専攻 : 情報科学プログラム

担当主専攻プログラム

  • 総合科学プログラム
  • 情報工学プログラム

研究分野

  • 情報学 / 人間情報学 / 知能情報学

研究キーワード

  • パターン認識
  • 機械学習
  • 画像認識
  • ニューラルネットワーク

所属学会

教育活動

授業担当

  1. 2022年, 教養教育, １ターム, 線形代数学I[1情]
  2. 2022年, 教養教育, ３ターム, 線形代数学II[1情]
  3. 2022年, 学部専門, 集中, AI基礎
  4. 2022年, 学部専門, ３ターム, 人工知能と機械学習
  5. 2022年, 修士課程・博士課程前期, １ターム, 情報科学特別演習A
  6. 2022年, 修士課程・博士課程前期, ２ターム, 情報科学特別演習A
  7. 2022年, 修士課程・博士課程前期, ３ターム, 情報科学特別演習A
  8. 2022年, 修士課程・博士課程前期, ４ターム, 情報科学特別演習A
  9. 2022年, 修士課程・博士課程前期, ３ターム, 情報科学特別演習B
  10. 2022年, 修士課程・博士課程前期, ４ターム, 情報科学特別演習B
  11. 2022年, 修士課程・博士課程前期, １ターム, 情報科学特別演習B
  12. 2022年, 修士課程・博士課程前期, ２ターム, 情報科学特別演習B
  13. 2022年, 修士課程・博士課程前期, 年度, 情報科学特別研究
  14. 2022年, 修士課程・博士課程前期, 年度, 情報科学特別研究
  15. 2022年, 修士課程・博士課程前期, ４ターム, 機械学習特論
  16. 2022年, 博士課程・博士課程後期, 年度, 情報科学特別研究

研究活動

学術論文（★は代表的な論文）

  1. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D巻, 10号, pp. 2870-2874, 201010
    DOIを用いた論文検索結果へのリンク
  2. ★, Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45巻, 2号, pp. 707-719, 201202
    DOIを用いた論文検索結果へのリンク
  3. ★, Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7巻, 3号, 20120301
    DOIを用いた論文検索結果へのリンク
  4. Analysis of texture characteristics associated with visual complexity perception, OPTICAL REVIEW, 19巻, 5号, pp. 306-314, 201209
    DOIを用いた論文検索結果へのリンク
  5. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A巻, 10号, pp. 1759-1767, 201210
    DOIを用いた論文検索結果へのリンク
  6. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12巻, 20120116
    DOIを用いた論文検索結果へのリンク
  7. Improvements of Local Descriptor in HOG/SIFT by BOF Approach, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E97D巻, 5号, pp. 1293-1303, 201405
    DOIを用いた論文検索結果へのリンク
  8. 【巻頭言】ランダムネスの効用, 日本神経回路学会誌, 20巻, 2号, pp. 1, 201306
  9. Improvements to the descriptor of SIFT by BOF approaches, The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), pp. 95-99, 201311
  10. Modeling the Perception of Visual Complexity in Texture Images, International Journal of Affective Engineering,, 12巻, 2号, pp. 223-231, 2013
  11. Pixel-Pair Features Selection for Vehicle Tracking, The 2nd IAPR Asian Conference on Pattern Recognition (ACPR2013), pp. 471-475, 201311
  12. BOG: an extension of HOG by interpreting it as bag of features, Proc. of MAV2013 IAPR International Conference on Machine Vision Applications, pp. 415-418, 201305
  13. Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models, SAR and QSAR in Environmental Research, 24巻, 7号, pp. 565-580, 2013
  14. ★, Sparse Logistic Discriminant Analysis, Prof. of IEEE International Conference on System, Man, and Cybernetics, 201310
  15. Visual complexity assessment of painting images, Proc. 2013 IEEE International Conference on Image Processing (ICIP 2013), pp. 388-392, 201309
  16. サポートベクター回帰を用いた158カ国の国債格付けの再現,’’, 情報知識学会誌, 23巻, 1号, pp. 70-91, 2013
  17. 人物画像認識による来場者モニタリング, 精密工学会誌, 80巻, 1号, pp. 89-93, 201401
  18. Image Classification using a Mixture of Subspace Models, IPSJ Transactions on Computer Vision and Application, 6巻, pp. 93-97, 201407
  19. Nonlinear Discriminant Analysis based on Probability Estimation by Gaussian Mixture Model, Proc. of Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR2014), pp. 133-142, 201408
  20. Extraction of Dimension Reduced Features from Empirical Kernel Vector, Proc. of the 21th International Conference on Neural Information Processing (ICONIP2014), Part II, LNCS 8835巻, Part II, LNCS 8835号, pp. 9-16, 201411
  21. 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
  22. Nonlinear Discriminant Analysis Using k Nearest Neighbor Estimation, Proc. of 21st Japan-Korea joint Workshop on Frontiers of Compputer Vision (FCV2015), 201501
  23. Mixture of Subspaces Image Representation and Compact Coding for Large-Scale Image Retrieval, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 37巻, 7号, pp. 1469-1479, 201507
    DOIを用いた論文検索結果へのリンク
  24. An evolutionary approach for gene selection and classification of microarray data based on SVM error-bound theories, BioSystems, 100巻, 1号, pp. 39-46, 201004
  25. Prediction of carcinogenicity for diverse chemicals based on substructure grouping and SVM modeling, Molecular Diversity, 14巻, 4号, pp. 789-802, 201011
  26. サポートベクターマシンを用いた企業の信用格付けの予測, Journal of the Japan Society for Management Information, 20巻, 1号, pp. 23-38, 201106
  27. A comparison of SVM-based evolutionary methods for multicategory cancer diagnosis using microarray gene expression data, Journal of Systemics, Cybernatics and Informatics, 9巻, 6号, pp. 63-68, 201109
  28. 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巻, 1号, pp. 146-153, 2012
  29. Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines, International Journal of Computer Theory and Engineering, 5巻, 1号, pp. 24-30, 201302
  30. Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models, SAR and QSAR in Environmental Research, 24巻, 7号, pp. 565-580, 201301
  31. 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), pp. 492-497, 201002
  32. 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), pp. 336-341, 201002
  33. Online Selection of Discriminative Pixel-Pair Feature for Tracking, Proc. of IASTED Conf. on Signal Processing, Pattern Recognition and Applications (SPPRA 2010), pp. 678-685, 201002
  34. 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, pp. 295-299, 201004
  35. Scene classification using spatial relationship between local posterior probabilities, Proc. of International Conference on Computer Vision Theory and Applications (VISAPP2010), 2巻, pp. 325-332, 201005
  36. Visual Tracking Algorithm using Pixel-Pair Feature, Proc. of Inter. Conf. on Pattern Recognition (ICPR2010), pp. 1808-1811, 201008
  37. Action recognition using three-way cross-correlations feature of local motion attributes, Proc. of Inter. Conf. on Pattern Recognition (ICPR2010), pp. 1731-1734, 201008
  38. 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
  39. 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
  40. ★, 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, pp. 299-306, 201108
  41. Multiple Random Subset-Kernel Learning, Proc. of 14th International Conference on Computer Analysis of Images and Patterns (CAIP2011), Seville (Spain), 201108
  42. Visual Complexity Perception and Texture Image Characteristics, Proc. of 2011 International Conference on Biometrics and Kansei Engineering (ICBAKE 2011), 201109
  43. 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
  44. Ensemble Random-Subset SVM, Proc. of the International Joint Conference on Computational Intelligence (NCTA2011),, pp. 334-339, 20111024
  45. Discriminant Appearance Weighting for Action Recognition, Proc. of The First Asian Conference on Pattern Recognition (ACPR'11), pp. 7-11, 201111
  46. Discriminant Kernels based Support Vector Machine, Proc. of The First Asian Conference on Pattern Recognition (ACPR'11), pp. 159-163, 201111
  47. Real-Time Vehicle Detection using a Single Rear Camera for a Blind Spot Warning System, SAE 2012 World Congress & Exhibition, 2012, Detroit, 20120425
  48. Analysis of Visual Complexity Perception to the Texture Images, International Conference on Kansei Engineering and Emotion Research（KEER2012）, pp. 216-224, 201205
  49. 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
  50. 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), pp. 214-219, 20121015
  51. 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
  52. Self-training with unlabeld regions for NBI image recognition, Prof. of 21st International Conference on Pattern Recognition (ICPR 2012), pp. 25-28, 201211
  53. Modeling Visual Complexity of Textures Associated with Texture Characteristics, 2012 International Conference of Information Science and Computer Applications (ICISCA 2012), 201211
  54. Randomized and Dimension Reduced Radial Basis Features for Support Vector Machine, Trans. of the Institute of Systems, Control and Information Engineers (ISCIE), 29巻, 1号, pp. 1-8, 201601
  55. Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches, Dentomaxillofacial Radiology, 201606
  56. 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
  57. 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
  58. 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
  59. 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
  60. Soft Local Binary Patterns, Proc. of 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR 2015), Fukuoka Japan, Nov. 13-15, 2015., pp. 70-75, 20151113
  61. Multiple Kernel Learning for Text Detection in Natural Scene Images, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), pp. 70-75, 20160217
  62. Ensemble SVMs for Region Evaluation of iPS Cells Image, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), pp. 252-257, 20160217
  63. Integration of Supervised and Unsupervised Learning for Deep Neural Network, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), pp. 101-106, 20160217
  64. Interior point method with ADMM for MRF optimization, Proc. of the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2016), pp. 146-149, 20160217
  65. 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), pp. 378-382, 20160217
  66. 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, pp. 3620-3627, 20160724
  67. Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D巻, 11号, pp. 2734-2744, 201611
    DOIを用いた論文検索結果へのリンク
  68. Marker based simple non-overlapping camera calibration, Proc. of IEEE International Conference on Image Processing (ICIP), pp. 1180-1184, 20160925
  69. 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
  70. 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
  71. Self-Validating and Adjusting Pupil Tracker by Gabor filter tuning, Proc. of IW-FCV-2017, 20170202
  72. Hierachical Region Merging with Region Adjacency Graph Constraints using Hypercolumns extracted from the trained CNN, Proc. Of IW-FCV-2017, 20170202
  73. Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D巻, 7号, pp. 1494-1504, 201706
    DOIを用いた論文検索結果へのリンク
  74. Tree-Wise Discriminative Subtree Selection for Texture Image Labeling, IEEE ACCESS, 5巻, pp. 13617-13634, 2017
    DOIを用いた論文検索結果へのリンク
  75. Gated spatio and temporal convolutional neural network for activity recognition: towards gated multimodal deep learning, EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 20171215
    DOIを用いた論文検索結果へのリンク
  76. Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells, PLOS ONE, 12巻, 12号, 20171227
    DOIを用いた論文検索結果へのリンク
  77. Critical texture pattern feature assessment for characterizing colonies of induced pluripotent stem cells through machine learning techniques, COMPUTERS IN BIOLOGY AND MEDICINE, 94巻, pp. 55-64, 20180301
    DOIを用いた論文検索結果へのリンク
  78. Marker-based non-overlapping camera calibration methods with additional support camera views, IMAGE AND VISION COMPUTING, 70巻, pp. 46-54, 201802
    DOIを用いた論文検索結果へのリンク
  79. Logistic Regression Analysis for the Material Design of Chiral Crystals, CHEMISTRY LETTERS, 47巻, 5号, pp. 611-612, 201812
    DOIを用いた論文検索結果へのリンク
  80. Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis, Trans. of the Institute of Systems, Control and Information Engineers (ISCIE), 31巻, 1号, pp. 10-20, 201706
  81. Improvement of feature localization for facial expressions by adding noise, International Journal of Affective Engineering, 17巻, 1号, pp. 27-37, 201801
  82. 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
  83. Temporal evolution of motion superpixel for video classification, Proc. of The 3rd IEEE Interna8onal Conference on Cyberne8cs (CYBCONF-2017), 20170622
  84. 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
  85. Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network, Proc. of ICONIP2017, Part II, LNCS 10635, pp. 217-225, 20171014
  86. Image Inpainting by Recursive Estimation using Neural Network and Wavelet Transformation, Proc. of ICONIP2017, Part VI, LNCS 10639, pp. 652-661, 20171014
  87. 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
  88. Scene Classification based on Histogram of Detected Objects, Proc. of the International Workshop on Frontiers of Computer Vision (IW-FCV 2018), Hakodate, Japan, 20180221
  89. 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
  90. Facial expression intensity estimation using Siamese and triplet networks, NEUROCOMPUTING, 313巻, pp. 143-154, 20181103
    DOIを用いた論文検索結果へのリンク
  91. Mixture of counting CNNs, MACHINE VISION AND APPLICATIONS, 29巻, 7号, pp. 1119-1126, 201810
    DOIを用いた論文検索結果へのリンク
  92. 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巻, 6号, pp. 609-625, 201906
    DOIを用いた論文検索結果へのリンク
  93. Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells, PLOS ONE, 12巻, 12号, 2017
  94. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D巻, 10号, pp. 2870-2874, 2010
  95. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45巻, 2号, pp. 707-719, 2012
  96. Multi-Structural Texture Analysis Using Mathematical Morphology, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A巻, 10号, pp. 1759-1767, 2012
  97. Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system, BMC MEDICAL IMAGING, 12巻, 2012
  98. Improvements of Local Descriptor in HOG/SIFT by BOF Approach, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E97D巻, 5号, pp. 1293-1303, 2014
  99. Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches, DENTOMAXILLOFACIAL RADIOLOGY, 45巻, 7号, 2016
  100. Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D巻, 11号, pp. 2734-2744, 2016
  101. Effect of Additive Noise for Multi-Layered Perceptron with AutoEncoders, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D巻, 7号, pp. 1494-1504, 2017
  102. Tree-Wise Discriminative Subtree Selection for Texture Image Labeling, IEEE ACCESS, 5巻, pp. 13617-13634, 2017
  103. Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis, Trans. of the Institute of Systems, Control and Information Engineers (ISCIE), 31巻, 1号, pp. 10-11, 201801
  104. CNNにおけるRｅＬＵ活性化関数に対するスパース正則化の適用と分析, 電子情報通信学会論文誌, J101-D巻, 8号, pp. 1110-10, 201808
  105. 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巻, 3号, pp. 108-10, 201906
  106. 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巻, 4号, pp. 130-12, 201908
  107. 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
  108. 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
  109. 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, pp. 635-644, 201812
  110. 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
  111. Music score estimation algorithm using octave hierarchy defined on logarithmic frequency, Proc of IW-FCV2019, 201902
  112. Action Classification Based on 2D Coordinates Obtained by Real-time Pose Estimation, Proc. of IW-FCV2019, 201902
  113. 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
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  118. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D巻, 10号, pp. 2870-2874, 2010
  119. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D巻, 10号, pp. 2870-2874, 2010
  120. Extraction of Combined Features from Global/Local Statistics of Visual Words Using Relevant Operations, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E93D巻, 10号, pp. 2870-2874, 2010
  121. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45巻, 2号, pp. 707-719, 2012
  122. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45巻, 2号, pp. 707-719, 2012
  123. Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images, PATTERN RECOGNITION, 45巻, 2号, pp. 707-719, 2012
  124. Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7巻, 3号, 2012
  125. Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion, PLOS ONE, 7巻, 3号, 2012
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著書等出版物

  1. 2007年12月, パターン認識と機械学習 上 - ベイズ理論による統計的予測, 翻訳, シュプリンガー・ジャパン株式会社, 2007年, 12, 共訳, 443110013X, 349
  2. 2008年07月, パターン認識と機械学習 下 - ベイズ理論による統計的予測, 翻訳, シュプリンガー・ジャパン株式会社, 2008年, 07, 共訳, 4431100318, 433
  3. 2013年03月, コンピュータビジョン ―アルゴリズムと応用―, 翻訳, 共立出版, 2013年, 03, 共訳, 432012328X, 836
  4. 2014年06月, 統計的学習の基礎―データマイニング・推論・予測―, 共立出版, 2014年, 6, 単行本（学術書）, その他, 日本語, Trevor Hastie, Robert Tibshirani, Jerome Friedman著, 杉山 将・井手 剛・神嶌 敏弘・栗田 多喜夫・前田 英作監訳, 井尻 善久・井手 剛・岩田 具治・金森 敬文・兼村 厚範・烏山 昌幸・河原 吉伸・木村 昭悟・小西 嘉典・酒井 智弥・鈴木 大慈・竹内 一郎・玉木 徹・出口 大輔・冨岡 亮太・波部 斉・前田 新一・持橋 大地・山田 誠訳、, 978-4-320-12362-5, 853, 853
  5. 2014年05月, Computer Vision: A Reference Guide, Principal Component Analysis (PCA), Springer, 2014年, 5, 事典・辞書, 共著, English, Takio Kurita, 978-0387307718, 4

招待講演、口頭・ポスター発表等

  1. 確率的証拠に基づくパターン認識～識別のための最適なカーネル関数～, 栗田多喜夫, 動的画像処理実利用ワークショップ (DIA2015), 2015年03月06日, 招待, 日本語, 精密工学会 画像応用技術専門委員会, 広島工業大学, 発表資料
  2. 確率的証拠に基づくパターン認識, 栗田多喜夫, 電気学会制御技術委員会, 2016年03月29日, 招待, 日本語, 電気学会, 広島
  3. 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年12月05日, 通常, 英語
  4. 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年12月17日, 通常, 英語

受賞

  1. 2021年02月23日, 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. 2013年05月22日, IAPR MVA2013(International Conference on Machine Vision Application2013)　The Most Influential Paper over the Decade Award, MVA2013 General chair and Program Chair
  3. 2015年01月30日, 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
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