| Bayesian unsupervised word segmentation with nested Pitman-Yor language modeling D Mochihashi, T Yamada, N Ueda Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 345 | 2009 |
| Survey on frontiers of language and robotics T Taniguchi, D Mochihashi, T Nagai, S Uchida, N Inoue, I Kobayashi, ... Advanced Robotics 33 (15-16), 700-730, 2019 | 76 | 2019 |
| Segmenting continuous motions with hidden semi-markov models and gaussian processes T Nakamura, T Nagai, D Mochihashi, I Kobayashi, H Asoh, M Kaneko Frontiers in neurorobotics 11, 67, 2017 | 72 | 2017 |
| The infinite Markov model D Mochihashi, E Sumita Advances in neural information processing systems 20, 2007 | 70 | 2007 |
| Infinite positive semidefinite tensor factorization for source separation of mixture signals K Yoshii, R Tomioka, D Mochihashi, M Goto International conference on machine learning, 576-584, 2013 | 65 | 2013 |
| Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction. K Yoshii, R Tomioka, D Mochihashi, M Goto ISMIR, 369-374, 2013 | 54 | 2013 |
| Inducing word and part-of-speech with Pitman-Yor hidden semi-Markov models K Uchiumi, H Tsukahara, D Mochihashi Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 51 | 2015 |
| The NiCT-ATR statistical machine translation system for IWSLT 2006 R Zhang, H Yamamoto, M Paul, H Okuma, K Yasuda, Y Lepage, ... Proceedings of the Third International Workshop on Spoken Language …, 2006 | 45 | 2006 |
| Bayesian semi-supervised audio event transcription based on Markov Indian buffet process Y Ohishi, D Mochihashi, T Matsui, M Nakano, H Kameoka, T Izumitani, ... 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 37 | 2013 |
| A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components. Y Ohishi, H Kameoka, D Mochihashi, K Kashino INTERSPEECH, 474-477, 2012 | 29 | 2012 |
| HVGH: unsupervised segmentation for high-dimensional time series using deep neural compression and statistical generative model M Nagano, T Nakamura, T Nagai, D Mochihashi, I Kobayashi, W Takano Frontiers in Robotics and AI 6, 115, 2019 | 25 | 2019 |
| A comprehensive analysis of PMI-based models for measuring semantic differences T Aida, M Komachi, T Ogiso, H Takamura, D Mochihashi Proceedings of the 35th Pacific Asia conference on language, information and …, 2021 | 23 | 2021 |
| Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models M Attamimi, Y Ando, T Nakamura, T Nagai, D Mochihashi, I Kobayashi, ... Advanced Robotics 30 (11-12), 806-824, 2016 | 23 | 2016 |
| Predicting word fixations in text with a CRF model for capturing general reading strategies among readers T Hara, D Mochihashi, Y Kano, A Aizawa Proceedings of the First Workshop on Eye-Tracking and Natural Language …, 2012 | 20 | 2012 |
| Sequence pattern extraction by segmenting time series data using GP-HSMM with hierarchical Dirichlet process M Nagano, T Nakamura, T Nagai, D Mochihashi, I Kobayashi, M Kaneko 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 18 | 2018 |
| Human-like natural language generation using monte carlo tree search K Kumagai, I Kobayashi, D Mochihashi, H Asoh, T Nakamura, T Nagai Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural …, 2016 | 17 | 2016 |
| Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations Y Ohishi, D Mochihashi, H Kameoka, K Kashino 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 17 | 2014 |
| Nonparametric bayesian semi-supervised word segmentation R Fujii, R Domoto, D Mochihashi Transactions of the Association for Computational Linguistics 5, 179-189, 2017 | 15 | 2017 |
| Learning common grammar from multilingual corpus T Iwata, D Mochihashi, H Sawada Proceedings of the ACL 2010 conference short papers, 184-188, 2010 | 15 | 2010 |
| Gaussian process and machine learning D Mochihashi, S Oba Kodansha, Tokyo, 2019 | 14 | 2019 |
