| Action and simultaneous multiple-person identification using cubic higher-order local auto-correlation T Kobayashi, N Otsu Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 191 | 2004 |
| Image feature extraction using gradient local auto-correlations T Kobayashi, N Otsu Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 160 | 2008 |
| Search for doubly charged Higgs boson production in multi-lepton final states with the ATLAS detector using proton–proton collisions at M Aaboud, G Aad, B Abbott, O Abdinov, B Abeloos, SH Abidi, ... The European Physical Journal C 78, 1-34, 2018 | 138 | 2018 |
| Measurements of inclusive and differential fiducial cross-sections of production in leptonic final states at in ATLAS M Aaboud, G Aad, B Abbott, DC Abbott, O Abdinov, B Abeloos, ... The European Physical Journal C 79, 1-41, 2019 | 132 | 2019 |
| BFO meets HOG: feature extraction based on histograms of oriented pdf gradients for image classification T Kobayashi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 119 | 2013 |
| Two-particle Bose-Einstein correlations in collisions at 0.9 and 7 TeV measured with the ATLAS detector Atlas Collaboration arXiv preprint arXiv:1502.07947, 2015 | 112 | 2015 |
| Dirichlet-based histogram feature transform for image classification T Kobayashi Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 89 | 2014 |
| Search for heavy long-lived multi-charged particles in pp collisions at TeV using the ATLAS detector G Aad, B Abbott, J Abdallah, O Abdinov, R Aben, M Abolins, OS AbouZeid, ... The European Physical Journal C 75, 1-23, 2015 | 80 | 2015 |
| Three-way auto-correlation approach to motion recognition T Kobayashi, N Otsu Pattern Recognition Letters 30 (3), 212-221, 2009 | 75 | 2009 |
| Urban sound event classification based on local and global features aggregation J Ye, T Kobayashi, M Murakawa Applied Acoustics 117, 246-256, 2017 | 74 | 2017 |
| Motion recognition using local auto-correlation of space–time gradients T Kobayashi, N Otsu Pattern Recognition Letters 33 (9), 1188-1195, 2012 | 67 | 2012 |
| Measurement of detector-corrected observables sensitive to the anomalous production of events with jets and large missing transverse momentum in $$\varvec {pp} $$ collisions at … M Aaboud, G Aad, B Abbott, J Abdallah, B Abeloos, SH Abidi, ... The European Physical Journal C 77 (11), 1-31, 2017 | 65 | 2017 |
| Acoustic feature extraction by statistics based local binary pattern for environmental sound classification T Kobayashi, J Ye 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 53 | 2014 |
| Rotation invariant feature extraction from 3-D acceleration signals T Kobayashi, K Hasida, N Otsu 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 52 | 2011 |
| Acoustic scene classification based on sound textures and events J Ye, T Kobayashi, M Murakawa, T Higuchi Proceedings of the 23rd ACM international conference on Multimedia, 1291-1294, 2015 | 39 | 2015 |
| Search for the HH → process via vector-boson fusion production using proton-proton collisions at = 13 TeV with the ATLAS detector G Aad, B Abbott, DC Abbott, A Abed Abud, K Abeling, DK Abhayasinghe, ... Journal of high energy physics 2020 (7), 1-37, 2020 | 37 | 2020 |
| Measurement of boson production in Pb+Pb collisions at TeV with the ATLAS detector Atlas Collaboration arXiv preprint arXiv:1907.10414, 2019 | 33 | 2019 |
| Statistical impact-echo analysis based on grassmann manifold learning: Its preliminary results for concrete condition assessment J Ye, M Iwata, K Takumi, M Murakawa, H Tetsuya, Y Kubota, T Yui, K Mori EWSHM-7th European workshop on structural health monitoring, 2014 | 31 | 2014 |
| Logistic label propagation T Kobayashi, K Watanabe, N Otsu Pattern Recognition Letters 33 (5), 580-588, 2012 | 31 | 2012 |
| Audio-based sports highlight detection by fourier local auto-correlations. J Ye, T Kobayashi, T Higuchi INTERSPEECH, 2198-2201, 2010 | 30 | 2010 |
Jiaxing YEAISTVerified email at aist.go.jp
