| 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 | 268 | 2009 |
| The infinite Markov model D Mochihashi, E Sumita Advances in neural information processing systems 20, 1017-1024, 2007 | 58 | 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 | 55 | 2013 |
| The NiCT-ATR statistical machine translation system for the IWSLT 2006 evaluation R Zhang, H Yamamoto, M Paul, H Okuma, K Yasuda, Y Lepage, ... International Workshop on Spoken Language Translation (IWSLT) 2006, 2006 | 43 | 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 | 33 | 2013 |
| Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction. K Yoshii, R Tomioka, D Mochihashi, M Goto ISMIR, 369-374, 2013 | 32 | 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 | 30 | 2015 |
| A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components Y Ohishi, H Kameoka, D Mochihashi, K Kashino Thirteenth Annual Conference of the International Speech Communication …, 2012 | 24 | 2012 |
| 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 | 21 | 2017 |
| 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 | 18 | 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 | 16 | 2012 |
| 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 | 15 | 2014 |
| Learning Nonstructural Distance Metric by Minimum Cluster Distortion D Mochihashi, G Kikui, K Kita Proceedings of the 2004 Conference on Empirical Methods in Natural Language …, 2004 | 14 | 2004 |
| Learning common grammar from multilingual corpus T Iwata, D Mochihashi, H Sawada Proceedings of the ACL 2010 conference short papers, 184-188, 2010 | 13 | 2010 |
| Learning an optimal distance metric in a linguistic vector space D Mochihashi, G Kikui, K Kita Systems and computers in Japan 37 (9), 12-21, 2006 | 13 | 2006 |
| LDA, a latent dirichlet allocation package D Mochihashi ATR Spoken Language Communication Research Laboratories, 2009 | 12 | 2009 |
| Statistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases Y Ohishi, H Kameoka, D Mochihashi, H Nagano, K Kashino Eleventh Annual Conference of the International Speech Communication Association, 2010 | 10 | 2010 |
| Context as filtering D Mochihashi, Y Matsumoto Advances in Neural Information Processing Systems, 907-914, 2006 | 10 | 2006 |
| Nonparametric bayesian semi-supervised word segmentation R Fujii, R Domoto, D Mochihashi Transactions of the Association for Computational Linguistics 5, 179-189, 2017 | 9 | 2017 |
| Probabilistic representatin of meaning D Mochihashi IPSJ-NL 4, 77-84, 2002 | 9 | 2002 |
