Publication

国際論文誌

国際会議

国内論文

国際論文誌

  1. T. Kobayashi,
    Disentangled Convolution for optimizing receptive field    ,
    Pattern Recognition Letters    , Vol. 169, pp. 67-74, 2023.
  2. L. S. Souza, N. Sogi, B. B. Gatto, T. Kobayashi, K. Fukui,
    Grassmannian learning mutual subspace method for image set recognition    ,
    Neurocomputing    , Vol. 517, pp.20-33, 2023.
  3. K. Fukui, N. Sogi, T. Kobayashi, J. Xue, A. Maki,
    Discriminant feature extraction by generalized difference subspace    ,
    IEEE Transactions on Pattern Analysis and Machine Intelligence    , Vol. 45, No. 2, pp.1618-1635, 2023.
  4. H. Ide, T. Kobayashi, K. Watanabe, T. Kurita,
    Robust Pruning For Efficient CNNs    ,
    Pattern Recognition Letters    , Vol. 135, pp. 90-98, 2020.
  5. J. Ye, T. Kobayashi, X. Wang, H. Tsuda, M. Murakawa,
    Audio Data Mining for Anthropogenic Disaster Identification: An Automatic Taxonomy Approach    ,
    IEEE Transaction on Emerging Topics in Computing    , Vol. 8, no. 1, pp. 126-136, 2020.
  6. J. Ye, T. Kobayashi, M. Iwata, H. Tsuda, M. Murakawa,
    Computerized Hammer Sounding Interpretation for Concrete Assessment with Online Machine Learning    ,
    SENSORS    , Vol. 18, No. 833, pp. 1-14, 2018.
  7. J. Ye, T. Kobayashi, M. Murakawa,
    Urban sound event classification based on local and global features aggregation    ,
    Applied Acoustics    , Vol. 117-B, pp. 246-256, 2017.
  8. K. Nishida, T. Kobayashi, T. Iwamoto, S. Yamasaki,
    Preindication Mining for Predicting Pedestrian Action Change    ,
    Computational Intelligence    , Vol. 669, pp. 359-370, 2017.
  9. K. Watanabe, T. Kobayashi, T. Wada,
    Semi-supervised Feature Transformation for Tissue Image Classification    ,
    PLOS ONE    , Vol. 11, No. 12, e0166413, 2016.
  10. T. Kobayashi,
    Discriminative local binary pattern    ,
    Machine Vision and Applications    , Vol. 27, No. 8, pp. 1175-1186, 2016.
  11. T. Kobayashi, K. Nishida,
    Learning Prior Bias in Classifier    ,
    Pattern Recognition Applications and Methods    , pp. 62-76, 2015.
  12. K. Nishida, T. Kobayashi, J. Fujiki,
    Accuracy Evaluation of Second-Order Shape Prediction on Tracking Non-Rigid Objects     ,
    International Journal On Advances in Systems and Measurements     , pp. 201-209, 2015.
  13. T. Kobayashi,
    Low-Rank Bilinear Classification: Efficient Convex Optimization and Extensions    ,
    International Journal of Computer Vision    , Vol. 110, No. 3, pp. 308-327, 2014.
  14. T. Kobayashi,
    Kernel-based transition probability toward similarity measure for semi-supervised learning    ,
    Pattern Recognition    , Vol. 47, No. 5, pp. 1994-2010, 2014.
  15. T. Kobayashi, K. Watanabe, N. Otsu,
    Revisit of Logistic Regression: Efficient Optimization and Kernel Extensions    ,
    International Journal of Advanced Computer Science and Applications    , Vol. 4, No. 5, pp. 138-147, 2013.
  16. T. Kobayashi, N. Otsu,
    Motion Recognition Using Local Auto-Correlation of Space-Time Gradients    ,
    Pattern Recognition Letters    , Vol. 33, No. 9, pp. 1188-1195, 2012.   
  17. T. Kobayashi, K. Watanabe, N. Otsu,
    Logistic Label Propagation    ,
    Pattern Recognition Letters    , Vol. 33, No. 5, pp. 580-588, 2012.   
  18. J. Ye, T. Kobayashi, M. Murakawa, T. Higuchi, N. Otsu,
    Anomaly Detection using Multi-channel FLAC for Supporting Diagnosis of ECG    ,
    IEEJ Transactions on Electronics, Information and Systems    , Vol. 132, No. 1, pp. 111-119, 2012.
  19. H. Nosato, T. Kurihara, H. Sakanashi, M. Murakawa, T. Kobayashi, T. Furuya, T. Higuchi, N. Otsu, K. Terai, W. Tokuyama, N. Hiruta,
    An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images    ,
    IPSJ Transactions on Computer Vision and Applications    , Vol. 3, pp. 211-221, 2011.
  20. T. Hosaka, T. Kobayashi, N. Otsu,
    Object Detection Using Background Subtraction and Foreground Motion Estimation    ,
    IPSJ Transactions on Computer Vision and Applications    , Vol. 3, pp. 9-20, 2011.
  21. T. Kobayashi, K. Watanabe, T. Higuchi, T. Miyajima, N. Otsu,
    Recognition of Dynamic Texture Patterns Using CHLAC Features and Linear Regression,
    International Journal of Database Theory and Application, Vol. 2, No. 4, pp. 13-26, 2009.
  22. F. Sakabe, M. Murakawa, T. Kobayashi, T. Higuchi, N. Otsu,
    Chapter Mark Addition Based on Anomalousness for Surgery Videos Using CHLAC Features    ,
    International Journal of Advanced Science and Technology    , Vol. 13, pp. 1-14, 2009.
  23. T. Hosaka, T. Kobayashi, N. Otsu,
    Image matting based on local color discrimination by SVM    ,
    Pattern Recognition Letters    , Vol. 30, No. 14, pp. 1253-1263, 2009.
  24. T. Kobayashi, N. Otsu,
    Three-way Auto Correlation Approach to Motion Recognition    ,
    Pattern Recognition Letters    , Vol. 30, No. 3, pp. 212-221, 2009.
  25. N. Morisaki, Y. Okade, T. Kobayashi, T. Kurita,
    A Study of the Relation between Teaching Experience in PE and the Evaluation of Sports Game Video    ,
    International Journal of Sport and Health Science    , Vol. 6, pp. 33-44, 2008.
  26. T. Hosaka, T. Kobayashi, N. Otsu,
    Image Segmentation Using MAP-MRF Estimation and Support Vector Machine    ,
    Interdisciplinary Information Sciences, Vol. 13, No. 1, pp. 33-42, 2007.
  27. R. Fukano, Y. Kuniyoshi, T. Otani, T. Kobayashi, N. Otsu,
    Acquisition of Unknown Object Property for Manipulation by A Compliant Multi-Fingered Hand    ,
    Journal of Robotics and Mechatoronics    , Vol. 17, No. 6, pp. 645-654, 2005.
  28. Y. Kuniyoshi, R. Fukano, T. Otani, T. Kobayashi, N. Otsu,
    Haptic Detection of Object Affordances by a Multi-Fingered Robot Hand    ,
    International Journal of Humanoid Robotics, Vol. 2, No. 4, pp. 415-436, 2005.

国際会議

  1. T. Kobayashi,
    Two-way Multi-Label Loss    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7476-7485, 2023.     
  2. T. Kobayashi,
    Rotation Regularization Without Rotation    ,
    Proc. European Conference on Computer Vision (ECCV), pp. 641-657, 2022.
  3. T. Kobayashi,
    Mutual Conditional Probability for Self-Supervised Learning    ,
    Proc. British Machine Vision Conference (BMVC), pp. 1-12, 2022.
  4. T. Kobayashi,
    Extractive Knowledge Distillation    ,
    Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 3511-3520, 2022.
  5. T. Kobayashi,
    t-vMF Similarity For Regularizing Intra-Class Feature Distribution    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6616-6625, 2021.     
  6. T. Kobayashi,
    Group Softmax Loss with Discriminative Feature Grouping    ,
    Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 2615-2624, 2021.
  7. T. Kobayashi,
    Phase-wise Parameter Aggregation For Improving SGD Optimization    ,
    Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 2625-2634, 2021.
  8. T. Kobayashi,
    SCW-SGD: Stochastically Confidence-Weighted SGD    ,
    Proc. International Conference on Image Processing (ICIP), pp. 1746-1750, 2020.
  9. L. S. Souza, N. Sogi, B. B. Gatto, T. Kobayashi, K. Fukui,
    An Interface between Grassmann manifolds and vector spaces    ,
    Proc. CVPR Workshop DiffCVML (CVPRW), pp. 3695-3704, 2020.
  10. T. Kobayashi,
    Gaussian-Based Pooling for Convolutional Neural Networks    ,
    Proc. Advances in Neural Information Processing Systems (NeurIPS) 32, pp. 11214-11224, 2019.     
  11. T. Kobayashi, H. Ide, K. Watanabe
    Simple ConvNet Based on Bag of MLP-Based Local Descriptors    ,
    Proc. International Conference on Neural Information Processing (ICONIP), pp. 207-215, 2019.
  12. T. Kobayashi,
    Global Feature Guided Local Pooling    ,
    Proc. International Conference on Computer Vision (ICCV), pp. 3365-3374, 2019.   
  13. T. Kobayashi,
    Large Margin In Softmax Cross-Entropy Loss    ,
    Proc. British Machine Vision Conference (BMVC), pp. 1-12, 2019.   
  14. T. Kobayashi,
    Spiral-Net with F1-based Optimization For Image-Based Crack Detection    ,
    Proc. Asian Conference on Computer Vision (ACCV), pp. 88-104, 2018.
  15. T. Kobayashi,
    GAN-based Semi-supervised Learning On Fewer Labeled Samples    ,
    Proc. British Machine Vision Conference (BMVC), pp. 1-12, 2018.
  16. T. Kobayashi,
    Analyzing Filters Toward Efficient ConvNet    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5619-5628, 2018.
  17. T. Kobayashi,
    Trainable Co-occurrence Activation Unit for Improving ConvNet    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1273-1277, 2018.
  18. J. Ye, T. Kobayashi, M. Iwata, H. Tsuda, M. Murakawa,
    Efficient Hammering Sound Spectrum Analysis for Concrete Condition Assessment with Distance Metric Learning    ,
    Proc. Structural Health Monitoring of Intelligent Infrastructures Conference (SHMII), pp. , 2017.
  19. T. Kobayashi,
    Sharing ConvNet Across Heterogeneous Tasks    ,
    Proc. International Conference on Neural Information Processing (ICONIP), pp. 343-353, 2017.
  20. T. Kobayashi,
    Flip-Invariant Motion Representation    ,
    Proc. International Conference on Computer Vision (ICCV), pp. 5629-5638, 2017.
  21. J. Ye, T. Kobayashi, H. Tsuda, M. Murakawa,
    Robust Hammering Echo Analysis for Concrete Assessment with Transfer Learning    ,
    Proc. International Workshop of Structural Health Monitoring (IWSHM), pp. 943-949, 2017.
  22. T. Kobayashi,
    Feature Sequence Representation Via Slow Feature Analysis For Action Classification    ,
    Proc. British Machine Vision Conference (BMVC), pp. 1-13, 2017.
  23. J. Ye, T. Kobayashi, H. Tsuda, M. Murakawa,
    Discriminant kernel learning for acoustic scene classification with multiple observations    ,
    Proc. European Signal Processing Conference (EUSIPCO), pp. 1824-1828, 2017.
  24. T. Kobayashi,
    Learning Data-driven Image Similarity Measure    ,
    Proc. International Conference on Pattern Recognition (ICPR), pp. 3668-3673, 2016.
  25. T. Kobayashi,
    Learning Additive Kernel For Feature Transformation and Its Application to CNN Features    ,
    Proc. British Machine Vision Conference (BMVC), pp. 1-12, 2016.
  26. J. Ye, T. Kobayashi, M. Iwata, M. Murakawa,
    Statistical Impact-echo Analysis using Bag-of-echoes Model for Concrete Condition Assessment    ,
    Proc. European Workshop On Structural Health Monitoring (EWSHM), pp. B1.1-10, 2016.
  27. T. Kobayashi,
    Structured Feature Similarity with Explicit Feature Map    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1211-1219, 2016.
  28. T. Kobayashi,
    Histogram Feature Deblurring    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1871-1875, 2016.
  29. T. Kobayashi, J. Ye,
    Discriminatively Learned Filter Bank For Acoustic Features    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 649-653, 2016.
  30. K. Nishida, T. Kobayashi, T. Iwamoto, S. Yamasaki,
    Pedestrian Action Prediction Using Static Image Feature    ,
    Proc. International Conference on Neural Computation Theory and Applications (NCTA), pp. 99-105, 2015.
  31. J. Ye, T. Kobayashi, M. Murakawa, T. Higuchi,
    Acoustic Scene Classification based on Sound Textures and Events    ,
    Proc. ACM International Conference on Multimedia (MM), pp. 1291-1294, 2015.
  32. T. Kobayashi,
    Discriminative Local Binary Pattern for Image Feature Extraction    ,
    Proc. International Conference on Computer Analysis of Images and Patterns (CAIP), pp. 594-605, 2015.
  33. T. Kobayashi,
    Three Viewpoints Toward Exemplar SVM    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2765-2773, 2015.
  34. K. Nishida, T. Kobayashi, J. Fujiki,
    The Effect of 2nd-Order Shape Prediction on Tracking Non-Rigid Object    ,
    Proc. International Conference on Pervasive Patterns and Applications (PATTERNS), pp. 60-63, 2015.
  35. J. Ye, M. Iwata, T. Kobayashi, M. Murakawa, T. Higuchi, Y. Kubota, T. Yui, K. Mori
    Statistical Impact-Echo Analysis Based on Grassmann Manifold Learning: Its Preliminary Results For Concrete Condition Assessment    ,
    Proc. European Workshop on Structural Health Monitoring, pp. 1349-1356, 2014.
  36. T. Kobayashi,
    S3CCA: Smoothly Structured Sparse CCA For Partial Pattern Matching    ,
    Proc. International Conference on Pattern Recognition (ICPR), pp. 1981-1986, 2014.
  37. T. Kobayashi,
    Dirichlet-based Histogram Feature Transform for Image Classification    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3278-3285, 2014.   
  38. T. Kobayashi, J. Ye,
    Acoustic Feature Extraction By Statistics Based Local Binary Pattern For Environmental Sound Classification    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3076-3080, 2014.
  39. J. Ye, T. Kobayashi, M. Murakawa, T. Higuchi,
    Robust Acoustic Feature Extraction for Sound Classification based on Noise Reduction    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5985-5989, 2014.
  40. T. Kobayashi, K. Nishida,
    Discriminative Prior Bias Learning For Pattern Classification    ,
    Proc. International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 67-75, 2014.
  41. K. Nishida, T. Kobayashi, J. Fujiki,
    Tracking by Shape with Deforming Prediction for Non-Rigid Objects    ,
    Proc. International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 580-587, 2014.
  42. K. Nishida, T. Kobayashi, J. Fujiki,
    Video Image Recovery For Occluded Skier's Form By Combining Forward and Backward Prediction Using Motion Feature    ,
    Proc. International Congress on Science and Skiing, pp. 77, 2013.
  43. J. Ye, T. Kobayashi, M. Murakawa, T. Higuchi,
    Incremental Acoustic Subspace Learning for Voice Activity Detection using Harmonicity-based Features    ,
    Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 695-699, 2013.
  44. T. Kobayashi,
    BoF meets HOG: Feature Extraction based on Histograms of Oriented p.d.f Gradients for Image Classification    ,
    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 747-754, 2013.   
  45. J. Ye, T. Kobayashi, M. Murakawa, T. Higuchi,
    Kernel Discriminant Analysis For Environmental Sound Recognition Based On Acoustic Subspace    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 808-812, 2013.
  46. T. Kobayashi,
    Lp-Regularized Optimization By Using Orthant-wise Approach For Inducing Sparsity    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3327-3331, 2013.
  47. T. Kobayashi,
    Generalized Mutual Subspace Based Methods for Image Set Classification    ,
    Proc. Asian Conference on Computer Vision (ACCV), pp. 578-592, 2012.
  48. T. Kobayashi, N. Otsu,
    Efficient Optimization For Low-Rank Integrated Bilinear Classifiers    ,
    Proc. European Conference on Computer Vision (ECCV), pp. 474-487, 2012.     
  49. T. Kobayashi, N. Otsu,
    Efficient Similarity Derived From Kernel-based Transition Probability    ,
    Proc. European Conference on Computer Vision (ECCV), pp. 371-385, 2012.   
  50. T. Kobayashi,
    Higher-order Co-occurrence Features based on Discriminative Co-clusters for Image Classification    ,
    Proc. British Machine Vision Conference (BMVC), pp. 64.1-64.11, 2012.   
  51. J. Ye, T. Kobayashi, T. Higuchi,
    Smart Audio Sensor on Anomaly Respiration Detection using FLAC Features    ,
    Proc. IEEE Sensors Applications Symposium (SAS), pp. 1-5, 2012.
  52. T. Kobayashi, K. Watanabe, N. Otsu,
    L0-Regularized Parametric Non-negative Factorization for Analyzing Composite Signals    ,
    Proc. International Conference on Machine Learning and Application (ICMLA), pp. 161-165, 2011.
  53. K. Watanabe, T. Kobayashi, N. Otsu,
    Efficient Optimization of Logistic Regression by Direct Use of Conjugate Gradient    ,
    Proc. International Conference on Machine Learning and Application (ICMLA), pp. 496-500, 2011.
  54. A. Yaguchi, T. Kobayashi, K. Watanabe, K. Iwata, T. Hosaka, N. Otsu,
    Cancer Detection From Biopsy Images Using Probabilistic and Discriminative Features    ,
    Proc. International Conference on Image Processing (ICIP), pp. 1641-1644, 2011.
  55. F. Yoshikawa, T. Kobayashi, K. Watanabe, N. Otsu,
    Automatic Scene Detection Using HLAC and MRA for Efficient Sport Analysis    ,
    Proc. International Council for Coach education (ICCE), pp. -, 2011.
  56. T. Kobayashi, K. Hasida, N. Otsu,
    Rotation Invariant Feature Extraction from 3-D Acceleration Signals    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3684-3687, 2011.
  57. K. Watanabe, T. Kobayashi, K. Koike, T. Higuchi, T. Natsume, N. Otsu,
    Detection of Peptide Ion Peaks in Mass Spectra by Using Weighted Auto-Correlation    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 621-624, 2011.
  58. J. Ye, T. Kobayashi, T. Higuchi, N. Otsu,
    Adaptive Abnormality Detection on ECG signal by utilizing FLAC features    ,
    Proc. Learning and Intelligent Optimization (LION), pp. 218-225, 2011.
  59. S. Maeda, T. Matsunawa, R. Ogawa, H. Ichikawa, K. Takahata, M. Miyairi, T. Kotani, S. Nojima, S. Tanaka, K. Nakagawa, T. Saito, S. Mimotogi, S. Inoue, H. Nosato, H. Sakanashi, T. Kobayashi, M. Murakawa, T. Higuchi, E. Takahashi, N. Otsu,
    HotSpot Detection using Image Pattern Recognition based on Higher-order Local Auto-Correlation,
    Proc. Advanced Lithography, 2011.
  60. F. Yoshikawa, T. Kobayashi, K. Watanabe, N. Otsu,
    Directionally-grouped CHLAC Motion Feature Extraction and Its Application to Sport Motion Analysis,
    Proc. WSEAS International Conference on Signal Processing, Robotics and Automation, pp. 170-174, 2011.
  61. T. Kobayashi, N. Otsu,
    One-class Label Propagation Using Local Cone Based Similarity,
    Proc. IEEE Conference on Automatic Face and Gesture Recognition (FG), pp. 394-399, 2011.
  62. J. Ye, T. Kobayashi, T. Higuchi,
    Audio-based Sports Highlight Detection by Fourier Local Auto Correlation    ,
    Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), pp. 2198-2201, 2010.
  63. J. Ye, T. Kobayashi, T. Higuchi,
    Audio-based Indoor Health Monitoring System using FLAC Features,
    Proc. International Conference on Emerging Security Technology (EST), 2010.
  64. J. Ye, T. Kobayashi, T. Higuchi,
    Vowel Recognition based on FLAC Acoustic Features and Subspace Classifier,
    Proc. International Conference on Signal Processing (ICSP), 2010.
  65. F. Yoshikawa, T. Kobayashi, K. Watanabe, N. Otsu, T. Kobayashi,
    Preliminary Study on Video Analysis of Horizontal Bar Exercises Using CHLAC and SVD    ,
    Proc. International Council for Coach Education (ICCE), 2010.
  66. F. Yoshikawa, T. Kobayashi, K. Watanabe, N. Otsu,
    CHLAC based Index for Evaluating Inefficiency of Sport Motions    ,
    Proc. International Conference Physical Education Sport and Health, 2010.
  67. K. Watanabe, T. Kobayashi, N. Otsu,
    Logistic Label Propagation for Semi-supervised Learning    ,
    Proc. International Conference on Neural Information Processing (ICONIP), pp. 462-469, 2010.
  68. T. Kobayashi, N. Otsu,
    Bilinear Formulated Multiple Kernel Learning for Multi-class Classification Problem    ,
    Proc. International Conference on Neural Information Processing (ICONIP), pp. 99-107, 2010.
  69. T. Kobayashi, N. Otsu,
    Bag of Hierarchical Co-occurrence Features for Image Classification    ,
    Proc. International Conference on Pattern Recognition (ICPR), pp. 3882-3885, 2010.
  70. T. Kobayashi, N. Otsu,
    Von Mises-Fisher Mean Shift for Clustering on a Hypersphere,
    Proc. International Conference on Pattern Recognition (ICPR), pp. 2130-2133, 2010.
  71. M. Stojmenovic, T. Kobayashi, F. Yoshikawa, N. Otsu,
    Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data    ,
    Proc. International Conference on Image Processing (ICIP), pp. 3033-3036, 2010.
  72. T. Kobayashi, F. Yoshikawa, N. Otsu,
    Cone-Restricted Kernel Subspace Methods    ,
    Proc. International Conference on Image Processing (ICIP), pp. 3853-3856, 2010.
  73. F. Yoshikawa, T. Kobayashi, K. Watanabe, N. Otsu,
    Automated Serve Scene Detection for Badminton Game Analysis Using CHLAC and MRA,
    Proc. International Conference on Computer and Electrical Engineering (ICCEE), 2010.
  74. F. Yoshikawa, T. Kobayashi, K. Watanabe, N. Otsu,
    Start and End Point Detection of Weightlifting Motion Using CHLAC and MRA,
    Proc. 1st International Workshop on Bio-inspired Human-Machine Interfaces and Healthcare Applications (B-Interface), pp. 44-50, 2010.
  75. T. Kobayashi, N. Otsu,
    Efficient Reduction Of Support Vectors In Kernel-Based Methods    ,
    Proc. International Conference on Image Processing (ICIP), pp. 2077-2080, 2009.   
  76. T. Kobayashi, T. Higuchi, T. Miyajima, N. Otsu,
    Recognition of Dynamic Texture Patterns Using CHLAC Features    ,
    Proc. International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS), pp. 58-60, 2009.
  77. F. Sakabe, M. Murakawa, T. Kobayashi, T. Higuchi, N. Otsu,
    Anomalousness Detection for Surgery Videos Using CHLAC Feature    ,
    Proc. International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS), pp. 66-68, 2009.
  78. K. Iwata, Y. Satoh, T. Kobayashi, T. Ueshiba, K. Sakaue, K. Hasida, N. Otsu, Y. Kameda, Y. Miyagi, Y. Sakuma, K. Kikuchi, E. Tsuchiya,
    Toward a HLAC-Based Histological Diagnosis System for Virtual-Slide Images    ,
    Proc. International Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS), pp. 53-57, 2009.
  79. F. Yoshikawa, B. Raytchev, T. Kobayashi, N. Otsu,
    Automated Video Indexing System for Badminton Game Analysis    ,
    Proc. 13th International Association for Sport Information World Congress, 2009.
  80. T. Kobayashi, N. Otsu,
    Color Image Feature Extraction Using Color Index Local Auto-Correlations    ,
    Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1057-1060, 2009.
  81. T. Kobayashi, N. Otsu,
    Cone-Restricted Subspace Methods    ,
    Proc. International Conference on Pattern Recognition (ICPR), 2008.
  82. T. Kobayashi, N. Otsu,
    Image Feature Extraction Using Gradient Local Auto-correlations    ,
    Proc. European Conference on Computer Vision (ECCV), pp. 346-358, 2008.   
  83. T. Kobayashi, F. Yoshikawa, N. Otsu,
    Motion Image Segmentation Using Global Criteria and DP    ,
    Proc. IEEE Conference on Automatic Face and Gesture Recognition (FG), 2008.
  84. S. Mimura, K. Itoh, T. Kobayashi, T. Takigawa, A. Tajima, A. Sawamura, N. Otsu,
    The Cow Gait Recognition Using CHLAC,
    Proc. ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS), pp. 56-57, 2008.
  85. T. Kobayashi, T. Hosaka, S. Mimura, T. Hayashi, N. Otsu,
    HLAC Approach to Automatic Object Counting,
    Proc. ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS), pp. 40-45, 2008.
  86. K. Iwata, Y. Sato, K. Sakaue, T. Kobayashi, N. Otsu,
    Development of Software for Real-time Unusual Motions Detection by Using CHLAC    ,
    Proc. ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS), pp. 34-39, 2008.
  87. T. Hosaka, T. Kobayashi, N. Otsu,
    Image Matting Using SVM and Neighboring Information    ,
    Proc. International Conference on Computer Vision Theory and Applications (VISAPP), pp. 344-349, 2007.
  88. T. Kobayashi, T. Hosaka, N. Otsu,
    An Automatic Evaluation Method of Image Mattes    ,
    Proc. International Conference Visualization, Imaging, and Image Processing (VIIP), pp. 283-288, 2007.
  89. T. Kobayashi, T. Hosaka, N. Otsu,
    Image Matting in the Framework of Quantification IV    ,
    Proc. International Conference on Image Processing (ICIP), pp. VI:57-60, 2007.
  90. K. Iwata, Y. Sato, T. Kobayashi, I. Yoda, N. Otsu,
    Application of the Unusual Motion Detection Using CHLAC to the Video Surveillance    ,
    Proc. International Conference on Neural Information Processing (ICONIP), pp. II:628-636, 2007.
  91. T. Kobayashi, N. Otsu,
    A Three-Way Auto-Correlation Based Approach to Human Identification by Gait    ,
    Proc. IEEE Workshop on Visual Surveillance (VS), pp. 185-192, 2006.
  92. N. Morisaki, T. Kobayashi, N. Murata, T. Kurita, N. Otsu,
    Interactive Searching Method between User's Subjective Impressions and Family Crest Images,
    Proc. International Design Congress, pp. E3-4, 2005.
  93. N. Nomoto, Y. Shinohara, T. Shiraki, T. Kobayashi, N. Otsu,
    A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis    ,
    Proc. IAPR Conference on Machine Vision Applications (MVA), pp. 265-268, 2005.
  94. T. Kobayashi, N. Otsu,
    Action and Simultaneous Multiple-Person Identification Using Cubic Higher-order Local Auto-Correlation    ,
    Proc. International Conference on Pattern Recognition (ICPR), pp. 741-744, 2004.

国内論文

論文誌
  1. 坂部史生，村川 正宏，小林匠，樋口哲也，大津展之,
    非通常動作検出によるリスク発見を支援する手術映像保存システムの提案,
    情報処理学会論文誌数理モデル化と応用（TOM）    , Vol. 4, No. 3, pp. 122-131, 2011.
  2. 坂部史生, 村川正宏, 小林匠, 樋口哲也, 大津展之,
    シーンの重要度に応じて圧縮率を変化させる適応型動画像圧縮法,
    電気学会論文誌(C)    , Vol. 130, No. 7, pp. 1177-1185, 2010.
  3. 荒木英人, 村川正宏, 小林匠, 樋口哲也, 久保田一, 大津展之,
    高次局所自己相関特徴による多チャンネル時系列データからの異常検知    ,
    電気学会論文誌(C)    , Vol. 129, No. 7, pp. 1305-1310, 2009.
  4. 小林匠, 大津展之,
    パターン識別のための錐制約部分空間法    ,
    電子情報通信学会論文誌(D), Vol. J92-D, No. 1, pp. 104-111, 2009. pdf
  5. 森崎巧一, 小林匠, 大津展之, 森下雄介,
    印象情報を用いた家紋画像検索とその評価,
    芸術工学会論文誌, Vol. 47, No. 10, 2008.
  6. 小林匠, 森崎功一, 大津展之,
    印象情報の付与による類似画像検索性能の評価,
    電子情報通信学会論文誌(D), Vol. J91-D, No. 4, pp. 1025-1032, 2008. pdf
解説
  1. 小林匠,
    安全・安心のための動画像認識技術～特徴抽出の観点から～,
    O plus E    , Vol. 35, No. 6, pp. 581-589, 2013.
  2. 小林匠, 大津展之,
    画像特徴量[VI] -高次局所自己相関に着目した画像特徴量と画像認識への応用-,
    電子情報通信学会誌    , Vol. 94, No. 4, pp. 335-340, 2011.
  3. 坂部史生, 村川正宏, 小林匠, 樋口哲也, 大津展之,
    動画像の内容にまで踏み込んだ圧縮法,
    画像ラボ    , Vol. 22, No. 5, pp. 44-50, 2011.
  4. 村川正宏, 小林匠, 樋口哲也, 大津展之,
    高次局所相関特徴に基づく多チャンネル時系列データからの異常検知,
    画像ラボ    , Vol. 21, No. 4, pp. 52-57, 2010.
  5. 栗田多喜夫, 小林匠, 大津展之,
    感性への数理科学的なアプローチ,
    電子情報通信学会誌, Vol. 92, No. 11, pp. 917-919, 2009.
  6. 小林匠, 大津展之,
    印象情報の付与による類似画像検索性能の評価,
    画像ラボ    , Vol. 19, No. 9, pp. 26-31, 2008.
  7. 岩田健司, 佐藤雄隆, 小林匠, 南里卓也, 大津展之,
    高速CHLACによるリアルタイム異常動作検出    ,
    画像ラボ    , Vol. 18, No. 5, pp. 6-10, 2007.
研究会
  1. 小林匠,
    安全・安心のための動画像認識技術    ,
    情報処理学会研究報告, 2013.
  2. 児玉吉晃, 小林匠, 大津展之, 福井和広,
    時空間正則化を用いた正準相関分析による部分マッチング法    ,
    電子情報通信学会技術研究報告, 2011.
  3. 坂部史生, 村川正宏, 小林匠, 樋口哲也, 大津展之,
    潜在的リスク発見を支援する手術映像保存システムの提案と評価    ,
    情報処理学会研究報告「数理モデル化と問題解決」, 2011.
  4. 吉川文人, 小林匠, 渡辺顕司, 大津展之,
    スポーツトレーニング支援へのCHLAC動作特徴の応用    ,
    電気学会電子・情報・システム部門大会講演論文集, pp. 392-397, 2010.
  5. 野里博和, 栗原司, 坂無英徳, 村川正宏, 小林匠, 古谷立美, 樋口哲也, 大津展之, 寺井謙介, 蛭田啓之, 亀田典章,
    病理画像からの異常検出における高次局所自己相関特徴の抽出手法に関する研究    ,
    画像の認識・理解(MIRU)シンポジウム論文集, pp. 1739-1746, 2010.
  6. 三村周, 伊藤桂一, 小林匠, 瀧川具弘, 田島淳史, 澤村篤, 村川正宏, 樋口哲也, 大津展之,
    乳牛の歩様に基づく個体認識と動画像のみを用いた発情期兆候の検知    ,
    動的画像処理実利用化ワークショップ(DIA2009), pp. 205-210, 2009.
  7. 荒木英人, 村川正宏, 小林匠, 樋口哲也, 久保田一, 大津展之,
    時系列データからの汎用的異常検知手法の提案とその性能評価    ,
    第73回数理モデル化と問題解決研究会, 2009.
  8. 岩田健司, 佐藤雄隆, 小林匠, 植芝俊夫, 坂上勝彦, 橋田浩一, 大津展之, 亀田陽一, 宮城洋平, 佐久間裕司, 菊地慶司, 土屋永寿,
    高次局所自己相関特徴法(HLAC)によるがん病理画像診断支援システムの構築に向けて    ,
    第28回日本医用画像工学会大会, 2009.
  9. 坂部史生, 村川正宏, 小林匠, 樋口哲也, 大津展之,
    シーンの重要度に応じて圧縮率を変化させる適応型動画像圧縮法    ,
    電気学会電子・情報・システム部門大会講演論文集, pp. 1305-1309, 2009.
  10. 岩田健司, 佐藤雄隆, 小林匠, 植芝俊夫, 坂上勝彦, 橋田浩一, 大津展之, 亀田陽一, 宮城洋平, 佐久間裕司, 菊地慶司, 土屋永寿,
    高次局所自己相関特徴法によるがん病理画像診断支援システム,
    ビジョン技術の実利用ワークショップ ViEW2009講演論文集, 2009.
  11. 小林匠,
    動画像による人物動作認識    ,
    第10回計測自動制御学会システムインテグレーション部門講演会, 2K1-1, 2009.
  12. 渡辺顕司, 小林匠, 加藤薫, 東ヶ崎健, 中川隆司, 柳茂, 大津展之,
    立体高次局所自己相関特徴を用いた細胞動画像解析手法の提案    ,
    細胞内ロジスティクス班会議, pp. P-09, 2009.
  13. 坂部史生, 村川正宏, 小林匠, 樋口哲也, 桐生昭吾, 大津展之,
    学習型シーン分析を用いた動画像圧縮保存法の検討    ,
    映像情報メディア学会2008年冬季大会, 2008.
  14. 荒木英人, 村川正宏, 小林匠, 樋口哲也, 久保田一, 大津展之,
    高次局所自己相関特徴による多チャンネル時系列データの異常検知    ,
    電気学会　電子・情報・システム部門大会, 2008.
  15. 坂上勝彦, 岩田健司, 佐藤雄隆, 小林匠, 大津展之,
    カメラ映像から異常動作をリアルタイムで自動検出するソフトの開発    ,
    画像センシング技術シンポジウム(SSII)論文集, pp. EX1-03, 2008.
  16. 代田康峻, 岩田昌也, 小林匠, 村川正宏, 樋口哲也, 桐生昭吾, 大津展之,
    動画像マッチングのための画像特徴量の検討,
    電子情報通信学会東京支部学生会研究発表会, 2008.
  17. 保坂忠明, 小林匠, 大津展之,
    MRFモデルを用いた動画像からの移動物体検出    ,
    電子情報通信学会技術研究報告, Vol. 107, No. 539, pp. 437-442, 2008.
  18. 森下雄介, 小林匠, 森崎巧一, 大津展之,
    時間重みと外的規準を用いた動作評価手法    ,
    電子情報通信学会技術研究報告, Vol. 107, No. 539, pp. 371-376, 2008.
  19. 小林匠, 大津展之,
    錘に基づくパターン識別方法,
    電子情報通信学会技術研究報告, Vol. 107, No. 539, pp. 47-52, 2008.
  20. 小林匠, 森崎巧一, 大津展之,
    類似画像検索における印象情報の寄与について    ,
    電子情報通信学会技術研究報告, Vol. 107, No. 59, pp. 101-106, 2007.
  21. 岩田健司, 佐藤雄隆, 小林匠, 依田育士, 坂上勝彦, 大津展之,
    CHLACによる異常動作検出の場面適応性の検証    ,
    画像応用技術専門委員会研究会報告, Vol. 22, No. 2, pp. 18-23, 2007.
  22. 保坂忠明, 小林匠, 大津展之,
    マルコフ確率場のBPを用いた画像からの対象領域抽出    ,
    物理学会春季大会講演概要集, pp. 292, 2007.
  23. 岩田健司, 佐藤雄隆, 小林匠, 依田育士, 坂上勝彦, 大津展之,
    CHLACによる映像サーベイランスのためのビジュアルフレームワーク    ,
    画像センシング技術シンポジウム(SSII)講演論文集, pp. LD1-04, 2007.
  24. 保坂忠明, 小林匠, 大津展之,
    マルコフ確率場のMAP推定による物体画像切り出し,
    電子情報通信学会技術研究報告, Vol. 106, No. 428, pp. 19-24, 2006.
  25. 小林匠, 大津展之,
    立体高次局所自己相関特徴を用いた行動・個人識別    ,
    電子情報通信学会全国大会, 2004.
  26. 深野亮, 國吉康夫, 小林匠, 大津展之,
    多指ロボットハンドによる運動拘束の認識 - 特徴量の改良とクラスタリングの導入-    ,
    第22回日本ロボット学会学術講演会, 2004.
  27. 深野亮, 小林匠, 篠原雄介, 國吉康夫, 大津展之,
    多指ハンドによる物体への働きかけとなじみに基づく物体操作学習情報の抽出    ,
    第21回日本ロボット学会学術講演会, 2003.