| Symbol emergence in robotics: a survey T Taniguchi, T Nagai, T Nakamura, N Iwahashi, T Ogata, H Asoh Advanced Robotics 30 (11-12), 706-728, 2016 | 91 | 2016 |
| Visualization of driving behavior based on hidden feature extraction by using deep learning HL Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando IEEE Transactions on Intelligent Transportation Systems 18 (9), 2477-2489, 2017 | 89 | 2017 |
| Semiotic prediction of driving behavior using unsupervised double articulation analyzer T Taniguchi, S Nagasaka, K Hitomi, NP Chandrasiri, T Bando 2012 IEEE Intelligent Vehicles Symposium, 849-854, 2012 | 62 | 2012 |
| Double articulation analyzer for unsegmented human motion using pitman-yor language model and infinite hidden markov model T Taniguchi, S Nagasaka 2011 IEEE/SICE International Symposium on System Integration (SII), 250-255, 2011 | 48 | 2011 |
| Unsupervised drive topic finding from driving behavioral data T Bando, K Takenaka, S Nagasaka, T Taniguchi 2013 IEEE Intelligent Vehicles Symposium (IV), 177-182, 2013 | 47 | 2013 |
| Driving context generation system for generating driving behavior description information T Bando, K Takenaka, T Taniguchi US Patent 9,527,384, 2016 | 44 | 2016 |
| Online learning of concepts and words using multimodal LDA and hierarchical Pitman-Yor Language Model T Araki, T Nakamura, T Nagai, S Nagasaka, T Taniguchi, N Iwahashi 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 41 | 2012 |
| ビブリオバトル 谷口忠大 文芸春秋 95, 2013 | 40* | 2013 |
| Contextual scene segmentation of driving behavior based on double articulation analyzer K Takenaka, T Bando, S Nagasaka, T Taniguchi, K Hitomi 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 39 | 2012 |
| Spatial concept acquisition for a mobile robot that integrates self-localization and unsupervised word discovery from spoken sentences A Taniguchi, T Taniguchi, T Inamura IEEE Transactions on Cognitive and Developmental Systems 8 (4), 285-297, 2016 | 37 | 2016 |
| Visualization of driving behavior using deep sparse autoencoder HL Liu, T Taniguchi, T Takano, Y Tanaka, K Takenaka, T Bando 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1427-1434, 2014 | 37 | 2014 |
| Sequence prediction of driving behavior using double articulation analyzer T Taniguchi, S Nagasaka, K Hitomi, NP Chandrasiri, T Bando, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (9), 1300-1313, 2015 | 34 | 2015 |
| Unsupervised hierarchical modeling of driving behavior and prediction of contextual changing points T Taniguchi, S Nagasaka, K Hitomi, K Takenaka, T Bando IEEE Transactions on Intelligent Transportation Systems 16 (4), 1746-1760, 2014 | 32 | 2014 |
| Drive video summarization based on double articulation structure of driving behavior K Takenaka, T Bando, S Nagasaka, T Taniguchi Proceedings of the 20th ACM international conference on Multimedia, 1169-1172, 2012 | 29 | 2012 |
| コミュニケーションするロボットは創れるか-記号創発システムへの構成論的アプローチ 谷口忠大 | 29 | 2010 |
| Mutual learning of an object concept and language model based on MLDA and NPYLM T Nakamura, T Nagai, K Funakoshi, S Nagasaka, T Taniguchi, N Iwahashi 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 28 | 2014 |
| Nonparametric bayesian double articulation analyzer for direct language acquisition from continuous speech signals T Taniguchi, S Nagasaka, R Nakashima IEEE Transactions on Cognitive and Developmental Systems 8 (3), 171-185, 2016 | 27 | 2016 |
| Feature extraction and pattern recognition for human motion by a deep sparse autoencoder H Liu, T Taniguchi 2014 IEEE International Conference on Computer and Information Technology …, 2014 | 27 | 2014 |
| Essential feature extraction of driving behavior using a deep learning method HL Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando 2015 IEEE Intelligent Vehicles Symposium (IV), 1054-1060, 2015 | 26 | 2015 |
| 記号創発ロボティクス 知能のメカニズム入門 谷口忠大 講談社, 2014 | 26 | 2014 |
Takashi Bando, 坂東誉司DENSO International America, Inc.Verified email at denso-diam.com
