Daichi Mochihashi

According to our database, Daichi Mochihashi authored at least 48 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry.

Anna Sato, Junichi Chikazoe, Shotaro Funai, Daichi Mochihashi, Yutaka Shikano, Masayuki Asahara, Satoshi Iso, Ichiro Kobayashi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Holographic CCG Parsing.

Ryosuke Yamaki, Tadahiro Taniguchi, Daichi Mochihashi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Scale-Invariant Infinite Hierarchical Topic Model.

Shusei Eshima, Daichi Mochihashi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes.

Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi

Frontiers Robotics AI, 2022

Special issue on symbol emergence in robotics and cognitive systems (II).

Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto

Adv. Robotics, 2022

Special issue on Symbol Emergence in Robotics and Cognitive Systems (I).

Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto

Adv. Robotics, 2022

Nonparametric Bayesian Deep Visualization.

Haruya Ishizuka, Daichi Mochihashi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites.

Hiroshi Uehara, Daichi Mochihashi

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

Infinite SCAN: An Infinite Model of Diachronic Semantic Change.

Seiichi Inoue, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Editorial: Language and Robotics.

Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, Takayuki Nagai

Frontiers Robotics AI, 2021

A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences.

Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi

Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

2020

How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text.

Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model.

Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano

Frontiers Robotics AI, 2019

Survey on frontiers of language and robotics.

Tadahiro Taniguchi, Daichi Mochihashi, Takayuki Nagai, Satoru Uchida, Naoya Inoue, Ichiro Kobayashi, Tomoaki Nakamura, Yoshinobu Hagiwara, Naoto Iwahashi, Tetsunari Inamura

Adv. Robotics, 2019

High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes.

Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation.

Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly

Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

2018

Natural Language Generation Using Monte Carlo Tree Search.

Kaori Kumagai, Ichiro Kobayashi, Daichi Mochihashi, Hideki Asoh, Tomoaki Nakamura, Takayuki Nagai

J. Adv. Comput. Intell. Intell. Informatics, 2018

Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process.

Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Masahide Kaneko

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction.

Amir Aly, Tadahiro Taniguchi, Daichi Mochihashi

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

Nonparametric Bayesian Semi-supervised Word Segmentation.

Ryo Fujii, Ryo Domoto, Daichi Mochihashi

Trans. Assoc. Comput. Linguistics, 2017

Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes.

Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh, Masahide Kaneko

Frontiers Neurorobotics, 2017

Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text.

Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig

Proceedings of the Interspeech 2017, 2017

MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting.

Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Learning Co-Substructures by Kernel Dependence Maximization.

Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Suggesting Sentences for ESL using Kernel Embeddings.

Kent Shioda, Mamoru Komachi, Rue Ikeya, Daichi Mochihashi

Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications, 2017

2016

Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models.

Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh

Adv. Robotics, 2016

Musical Typicality: How Many Similar Songs Exist?.

Tomoyasu Nakano, Daichi Mochihashi, Kazuyoshi Yoshii, Masataka Goto

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Human-like Natural Language Generation Using Monte Carlo Tree Search.

Kaori Kumagai, Ichiro Kobayashi, Daichi Mochihashi, Hideki Asoh, Tomoaki Nakamura, Takayuki Nagai

Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation, 2016

2015

Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments.

Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models.

Kei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations.

Yasunori Ohishi, Daichi Mochihashi, Hirokazu Kameoka, Kunio Kashino

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction.

Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals.

Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto

Proceedings of the 30th International Conference on Machine Learning, 2013

Bayesian semi-supervised audio event transcription based on Markov indian buffet process.

Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino

Proceedings of the IEEE International Conference on Acoustics, 2013

Improvements to the Bayesian Topic N-Gram Models.

Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components.

Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Kunio Kashino

Proceedings of the INTERSPEECH 2012, 2012

2011

Gibbs sampling based Multi-scale Mixture Model for speaker clustering.

Shinji Watanabe, Daichi Mochihashi, Takaaki Hori, Atsushi Nakamura

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Statistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases.

Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Hidehisa Nagano, Kunio Kashino

Proceedings of the INTERSPEECH 2010, 2010

Learning Common Grammar from Multilingual Corpus.

Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada

Proceedings of the ACL 2010, 2010

2009

On the properties of von Neumann kernels for link analysis.

Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto

Mach. Learn., 2009

Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling.

Daichi Mochihashi, Takeshi Yamada, Naonori Ueda

Proceedings of the ACL 2009, 2009

2007

The Infinite Markov Model.

Daichi Mochihashi, Eiichiro Sumita

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Learning an optimal distance metric in a linguistic vector space.

Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita

Syst. Comput. Jpn., 2006

Exploring Multiple Communities with Kernel-Based Link Analysis.

Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation.

Ruiqiang Zhang, Hirofumi Yamamoto, Michael Paul, Hideo Okuma, Keiji Yasuda, Yves Lepage, Etienne Denoual, Daichi Mochihashi, Andrew M. Finch, Eiichiro Sumita

Proceedings of the 2006 International Workshop on Spoken Language Translation, 2006

Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis.

Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto

Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

2005

Context as Filtering.

Daichi Mochihashi, Yuji Matsumoto

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Learning Nonstructural Distance Metric by Minimum Cluster Distortion.

Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004