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 |