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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2022-03-11
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]
IBISML 2022-03-09
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
NLC 2022-03-07
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
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
IBISML 2020-03-11
Kyoto Kyoto University
(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
IBISML 2020-01-10
Tokyo ISM 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]
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
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
SP 2018-08-27
Kyoto Kyoto Univ. [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]
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
Okinawa Okinawa Institute of Science and Technology Variable Order Infinite Hidden Markov Models
Kei Uchiumi (Denso ITLab), Daichi Mochihashi (ISM) IBISML2018-5
 [more] IBISML2018-5
IBISML 2017-11-09
Tokyo Univ. of Tokyo Bayesian nonparametric model for uncountable factor analysis
Masahiro Nakano (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Kunio Kashino (NTT) IBISML2017-59
 [more] IBISML2017-59
IT 2016-12-13
Gifu Takayama Green Hotel [Invited Talk] Statistical Natural Language Processing and Information Theory
Daichi Mochihashi (ISM) IT2016-42
 [more] IT2016-42
IBISML 2013-11-13
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [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
PRMU, NLC 2012-06-29
Tokyo   [Special Talk] Statistical natural language processing with continuous models
Daichi Mochihashi (ISM) NLC2012-5 PRMU2012-25
 [more] NLC2012-5 PRMU2012-25
PRMU, NLC 2012-06-29
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
SP 2010-11-19
Aichi Aichi Prefectural Univ. 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
NC 2006-10-11
Nara NAIST [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]
 Results 1 - 16 of 16  /   
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