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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2024-09-12 10:30 |
Hyogo | Awaji Yumebutai (Hyogo) | When do you read the text? Statistical analysis of viewing time of Wikipedia articles Taketoshi Yoshii (D2C), Daichi Mochihashi (ISM)  DE2024-7 |
The internet is replete with a diverse array of content that users engage with according to their individual life cycles... [more] | DE2024-7 pp.19-24 |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 11:10 |
Okinawa | OIST (Okinawa) | Random Fourier feature latent variable model for user preference embedding and analysis Kazuaki Takehara (SOKENDAI), Daichi Mochihashi (ISM) NC2024-3 IBISML2024-3 |
We propose a model to visualize and analyze user preferences (degrees of liking or disliking) for items. The proposed m... [more] |
NC2024-3 IBISML2024-3 pp.14-21 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 11:25 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Hiroshima, Online) (Primary: On-site, Secondary: Online) |
Joint Estimation of Differential Equations and Latent Event Types from Temporal Point Processes Shuichi Miyazawa (SOKENDAI), Daichi Mochihashi (ISM) IBISML2023-50 |
Ordinary differential equations (ODEs) help the interpretation of phenomena in various scientific fields. ODEs are often... [more] | IBISML2023-50 pp.71-78 |
| PRMU, IPSJ-CVIM | 2022-03-11 09:45 |
Online | Online (Online) | A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74 |
In this study, we attempt to understand the meaning of adverbs through the features of human actions. Specifically, the... [more] |
PRMU2021-74 pp.91-96 |
| IBISML | 2022-03-09 14:55 |
Online | Online (Online) | Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47 |
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] | IBISML2021-47 pp.61-68 |
| NLC | 2022-03-07 13:25 |
Online | Online (Online) | An Exploratory Text Analysis for the Ideologies of the Chinese Communist Party Yuki Mikiya (Keio Univ.), Daichi Mochihashi (ISM) NLC2021-32 |
Understanding the semantic differences among texts has important implications in the social sciences and humanities. In ... [more] | NLC2021-32 pp.24-29 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 13:00 |
Online | Online (Online) | Nonparametric Bayesian Deep Visualization Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) NC2021-1 IBISML2021-1 |
(To be available after the conference date) [more] | NC2021-1 IBISML2021-1 pp.1-8 |
| IBISML | 2020-03-11 10:10 |
Kyoto | Kyoto University (Kyoto) (Cancelled but technical report was issued) |
Sentence Visualization Based on Relative Sentence Embeddings Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) IBISML2019-42 |
Sentence visualization is important for a organization, such as company or government, since it facilitates to understan... [more] | IBISML2019-42 pp.63-70 |
| IBISML | 2020-01-10 13:40 |
Tokyo | ISM (Tokyo) | Non-compensatory Temporal IRT with Local Variational Approximation Hiroshi Tamano (NEC/SOKENDAI), Daichi Mochihashi (ISM) IBISML2019-31 |
Knowledge tracing, the time varying extension of item response theory (IRT), is a task to trace learner’s latent skill ... [more] |
IBISML2019-31 pp.91-98 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 10:20 |
Fukuoka | (Fukuoka) | Text Region Extraction in Page Images of Modern Literature using Convolutional Neural Networks Yudai Nagano, Ryuichiro Hataya, Katsuya Masuda (UTokyo), Daichi Mochihashi (ISM) PRMU2018-47 IBISML2018-24 |
(To be available after the conference date) [more] | PRMU2018-47 IBISML2018-24 pp.73-78 |
| SP | 2018-08-27 14:20 |
Kyoto | Kyoto Univ. (Kyoto) | [Invited Talk]
Product models and semi-supervised word segmentation Daichi Mochihashi (ISM) SP2018-28 |
While deep learning methods have achieved revolutionary success in speech and audio research, the impact is less signif... [more] |
SP2018-28 p.29 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 13:00 |
Okinawa | Okinawa Institute of Science and Technology (Okinawa) | Variable Order Infinite Hidden Markov Models Kei Uchiumi (Denso ITLab), Daichi Mochihashi (ISM) IBISML2018-5 |
[more] | IBISML2018-5 pp.31-38 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo (Tokyo) | Bayesian nonparametric model for uncountable factor analysis Masahiro Nakano (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Kunio Kashino (NTT) IBISML2017-59 |
[more] | IBISML2017-59 pp.185-192 |
| IT | 2016-12-13 14:05 |
Gifu | Takayama Green Hotel (Gifu) | [Invited Talk]
Statistical Natural Language Processing and Information Theory Daichi Mochihashi (ISM) IT2016-42 |
[more] | IT2016-42 pp.1-7 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan (Tokyo) | [Poster Presentation]
Infinite Positive Semidefinite Tensor Factorization based on Gamma Process for Music Signal Analysis Kazuyoshi Yoshii (AIST), Ryota Tomioka (Univ. of Tokyo), Daichi Mochihashi (ISM), Masataka Goto (AIST) IBISML2013-57 |
This paper presents positive semidefinite tensor factorization (PSDTF) that is a natural extension of nonnegative matrix... [more] | IBISML2013-57 pp.161-168 |
| PRMU, NLC | 2012-06-29 13:30 |
Tokyo | (Tokyo) | [Special Talk]
Statistical natural language processing with continuous models Daichi Mochihashi (ISM) NLC2012-5 PRMU2012-25 |
[more] | NLC2012-5 PRMU2012-25 p.21 |
| PRMU, NLC | 2012-06-29 17:00 |
Tokyo | (Tokyo) | Bayesian Nonparametric Approach to Audio Event Detection Yasunori Ohishi (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino (NTT) NLC2012-9 PRMU2012-29 |
As the amount of available multimedia data increases, the technique to automatically extract the significant information... [more] | NLC2012-9 PRMU2012-29 pp.37-42 |
| SP | 2010-11-19 10:15 |
Aichi | Aichi Prefectural Univ. (Aichi) | Statistical Modeling and Analysis of Singing Voice F0 Dynamics based on Second-order Linear System Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Hidehisa Nagano, Kunio Kashino (NTT) SP2010-80 |
We present a new statistical model for dynamics of various singing behaviors, such as vibrato and overshoot, in a fundam... [more] | SP2010-80 pp.65-70 |
| NC | 2006-10-11 13:00 |
Nara | NAIST (Nara) | [Invited Talk]
Bayesian approaches in Natural Language Processing Daichi Mochihashi (ATR/NICT) |
This paper overviews Bayesian approaches in natural language processing that are becoming prominent. Without any knowl... [more] |
NC2006-49 pp.25-30 |
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