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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
13:00
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
(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 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   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. [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 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 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 [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 [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   [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   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. 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 [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
 Results 1 - 13 of 13  /   
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