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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-04
10:55
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)

Sun Lei (NAIST), Yusuke Tanaka, Tomoharu Iwata (NTT) IBISML2023-48
(To be available after the conference date) [more] IBISML2023-48
pp.57-64
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
An Investigation into Weighting Strategies for Model Averaging in Continual Learning for Automatic Speech Recognition
Kentaro Shinayama, Hiroshi Sato, Tomoharu Iwata, Takeshi Mori, Taichi Asami (NTT) EA2023-105 SIP2023-152 SP2023-87
In recent years, the application scope of speech recognition AI has expanded, enabling the acquisition of diverse data d... [more] EA2023-105 SIP2023-152 SP2023-87
pp.262-267
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Crowd Navigation via Bayesian Optimization of Multi-agent Simulation
Hitoshi Shimizu, Takuma Otsuka, Tomoharu Iwata, Hiroshi Sawada, Futoshi Naya, Naonori Ueda (NTT) IBISML2018-57
In a large event where a large number of people gather, to prepare plans for safely guiding visitors in advance, predict... [more] IBISML2018-57
pp.99-104
IBISML 2018-03-05
17:00
Fukuoka Nishijin Plaza, Kyushu University Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information
Taira Tsuchiya (Waseda Univ.), Tomoharu Iwata (NTT), Tetsuji Ogawa (Waseda Univ.) IBISML2017-96
Matrix factorization is widely used for a variety of fields, such as computer vision, document analysis, signal processi... [more] IBISML2017-96
pp.41-48
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo Nonconvex Sparse Optimization with Submodularity
Naoki Marumo, Tomoharu Iwata (NTT) IBISML2017-51
 [more] IBISML2017-51
pp.123-130
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-25
10:20
Okinawa Okinawa Institute of Science and Technology Learning with linearly transformed l0 sparsity
Naoki Marumo, Tomoharu Iwata (NTT) IBISML2017-8
We consider a class of non-convex optimization problems with linearly transformed
sparsity constraints, which includes... [more]
IBISML2017-8
pp.193-199
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Use of the end of sentence and speaker-derived information in recurrent neural network language models for multiparty conversations.
Hiroto Ashikawa, Naohiro Tawara (Waseda Univ.), Atsunori Ogawa, Tomoharu Iwata (NTT), Tetsuji Ogawa, Tetsunori Kobayashi (Waseda Univ.) EA2016-133 SIP2016-188 SP2016-128
Information on the end of sentence (EOS) and speaker alternation was exploited in recurrent neural network-based languag... [more] EA2016-133 SIP2016-188 SP2016-128
pp.287-290
SP 2016-10-27
14:00
Shizuoka Shizuoka University. [Invited Talk] Unsupervised Object Matching
Tomoharu Iwata (NTT) SP2016-45
We introduce unsupervised object matching, which is a task to find matching between objects in different domains without... [more] SP2016-45
pp.23-24
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2016-07-06
13:00
Okinawa Okinawa Institute of Science and Technology A New Probabilistic Topic Model Based on Variable Bin Width Histogram
Hideaki Kim, Tomoharu Iwata, Hiroshi Sawada (NTT) IBISML2016-6
Probabilistic topic models, as represented by latent Dirichlet allocation (LDA), have been widely used for analyzing not... [more] IBISML2016-6
pp.217-223
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2014-06-25
16:10
Okinawa Okinawa Institute of Science and Technology A Discriminative Model resistant to Malicious Annotators
Atsutoshi Kumagai, Shingo Orihara, Yasushi Okano, Tomoharu Iwata, Yoshihito Oshima (NTT) NC2014-1 IBISML2014-1
Recently, there have been a lot of studies on learning a classifier from a large amount of labeled data collected from c... [more] NC2014-1 IBISML2014-1
pp.17-23
LOIS 2012-03-09
15:40
Okinawa Meio Univ. Relevance Modeling of Linked Open Data and Users' Transaction Histories for Recommendation
Robert Sumi, Yutaka Kabutoya, Tomoharu Iwata, Toshio Uchiyama, Ko Fujimura (NTT) LOIS2011-108
We propose using Linked Open Data (LOD) to inform a topic model for recommending both well-watched old movies and unwatc... [more] LOIS2011-108
pp.213-218
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. Detection of miscategorized samples based on predictive likelihood maximization
Akinori Fujino, Tomoharu Iwata, Masaaki Nagata (NTT) IBISML2011-83
 [more] IBISML2011-83
pp.277-283
IPSJ-DC, LOIS
(Joint)
2011-07-21
14:10
Hokkaido Future Univ. Hakodate Generating Personalized Travel Plan with Social Media
Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura (NTT) LOIS2011-10
We have proposed a travel route recommendation method considering the user’s current location, user’s spare time and use... [more] LOIS2011-10
pp.7-12
LOIS, IPSJ-DC, IPSJ-FI
(Joint)
2010-03-04
18:15
Okinawa Okinawaken-Seinen-Kaikan Travel Route Recommendation using Geotags on Photo Sharing Service
Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura (NTT Corp.) LOIS2009-88
(To be available after the conference date) [more] LOIS2009-88
pp.55-60
AI 2009-05-22
11:00
Tokyo   Unsupervised extraction of content-related annotations
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda (NTT) AI2009-3
(To be available after the conference date) [more] AI2009-3
pp.13-18
SP, NLC 2008-12-09
15:35
Tokyo Waseda Univ. Speech Recognition by Topic Models with Continuous/Discontinuous Topic Changes
Atsushi Sako, Yasuo Ariki (Kobe Univ.), Tomoharu Iwata, Shinji Watanabe, Takaaki Hori (NTT) NLC2008-33 SP2008-88
In this paper, we propose topic models with continuous/discontinuous topic changes,
and describe experiments using MIT... [more]
NLC2008-33 SP2008-88
pp.55-60
PRMU, DE 2007-06-29
10:00
Hokkaido Hokkaido Univ. Recommendation Method for Improving Customer Lifetime Value
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada (NTT) DE2007-11 PRMU2007-37
It is important for online stores to improve Customer Lifetime Value (LTV) if they are to increase their profits. Conven... [more] DE2007-11 PRMU2007-37
pp.57-62
AI 2007-05-31
11:10
Tokyo Kikai-Shinko-Kaikan Bldg. Collaborative Filtering using Purchase Sequences
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda (NTT) AI2007-3
We propose a collaborative filtering method that uses sequential information in purchase histories for recommendations. ... [more] AI2007-3
pp.13-18
 Results 1 - 18 of 18  /   
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