Daichi Mochihashi
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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
The infinite Markov model
D Mochihashi, E Sumita
Advances in neural information processing systems 20, 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
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
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
Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction.
K Yoshii, R Tomioka, D Mochihashi, M Goto
ISMIR, 369-374, 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
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
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
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
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
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
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, 115, 2019
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
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
Learning common grammar from multilingual corpus
T Iwata, D Mochihashi, H Sawada
Proceedings of the ACL 2010 conference short papers, 184-188, 2010
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
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
Improvements to the Bayesian topic n-gram models
H Noji, D Mochihashi, Y Miyao
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
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
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