Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CS |
2024-07-12 09:20 |
Nagasaki |
Center for Tsushima engagement |
Channel Impulse Response Estimation Based on Sparse Observation of Frequency Response Shuji Ueta, Daisuke Umehara (Kyoto Inst. of Tech) CS2024-29 |
The iterative shrinkage-thresholding algorithm (ISTA) has been adopted to estimate the channel impulse response, includi... [more] |
CS2024-29 pp.90-95 |
IBISML |
2020-03-11 11:10 |
Kyoto |
Kyoto University (Cancelled but technical report was issued) |
Multi-cross Hinge Loss for Unbalanced Multi-class Classification Shumpei Kurora (Wakayama Univ), Hirotaka Hachiya (Wakayama Univ/RIKEN), Udai Shimada (MRI), Naonori Ueda (RIKEN) IBISML2019-44 |
[more] |
IBISML2019-44 pp.79-84 |
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 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 10:25 |
Okinawa |
Okinawa Institute of Science and Technology |
A Semi-supervised Learning Method for Imbalanced Binary Classification Akinori Fujino, Naonori Ueda (NTT) IBISML2016-3 |
This paper presents a semi-supervised learning method for imbalanced binary classification where the number of positive ... [more] |
IBISML2016-3 pp.195-200 |
IBISML |
2015-03-06 11:00 |
Kyoto |
Kyoto University |
Asymptotic Properties of Area Under the ROC Curve via Likelihood Ratio Based Ranking Function Kentaro Nakanishi, Toshiyuki Tanaka (Kyoto Univ.), Naonori Ueda (NTT) IBISML2014-92 |
We study properties of the area under the ROC curve, which is one of measures to evaluate performance of a binary classi... [more] |
IBISML2014-92 pp.55-62 |
IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Infinitely exchangeable rectangular partitioning Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda (NTT) IBISML2014-77 |
(Advance abstract in Japanese is available) [more] |
IBISML2014-77 pp.313-320 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Floor-plan partitioning stochastic processes for relational data analysis Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda (NTT) IBISML2013-62 |
This paper presents a floor-plan partitioning stochastic process, that can potentially generate arbitrary rectangular pa... [more] |
IBISML2013-62 pp.197-204 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Subset Infinite Relational Model Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada (NTT) IBISML2012-37 |
We propose a new probabilistic generative model for analyzing sparse and noisy relational data, such as friend-links on ... [more] |
IBISML2012-37 pp.23-30 |
LQE, CPM, EMD, OPE, R |
2012-08-23 13:15 |
Miyagi |
Tohoku Univ. |
[Special Invited Talk]
Study on Reliability of Semiconductor Optical Devices
-- General Remarks and Topics since the Early 1990s -- Osamu Ueda (KIT) R2012-26 EMD2012-32 CPM2012-57 OPE2012-64 LQE2012-30 |
[more] |
R2012-26 EMD2012-32 CPM2012-57 OPE2012-64 LQE2012-30 pp.27-32 |
IBISML |
2012-03-12 10:50 |
Tokyo |
The Institute of Statistical Mathematics |
Detecting Latent Structural Changes via Latent Dirichlet Allocation Masashi Ueda, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo), Katsuhiko Ishiguro, Hiroshi Sawada, Naonori Ueda (NTT) IBISML2011-89 |
Detecting changes in consumers' latent preference is a fundamental challenge for improving recommendation systems as wel... [more] |
IBISML2011-89 pp.15-20 |
NC, MBE (Joint) |
2010-03-09 11:05 |
Tokyo |
Tamagawa University |
Related Abstract Search Tool:RAST Nilton Liuji Kamiji (RIKEN), Tatsuki Taniguchi (IVIS), Naonori Ueda (NTT Comm Sci Labs.), Shiro Usui (RIKEN) NC2009-91 |
With the increasing amount of information available in recent years, searching for the desired content is becoming a cha... [more] |
NC2009-91 pp.23-28 |
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 |
PRMU |
2009-03-13 13:25 |
Miyagi |
Tohoku Institute of Technology |
[Special Talk]
none Naonori Ueda (NTT) PRMU2008-248 |
[more] |
PRMU2008-248 pp.55-60 |
PRMU, DE |
2007-06-29 13:30 |
Hokkaido |
Hokkaido Univ. |
Graph Clustering with a Nonparametric Bayes Model Shuhei Kuwata, Naonori Ueda, Takeshi Yamada (NTT) DE2007-15 PRMU2007-41 |
We propose a new graph clustering method based on a nonparametric Bayesian model. Recently, Newman et al. proposed an ef... [more] |
DE2007-15 PRMU2007-41 pp.81-86 |
PRMU, DE |
2007-06-29 14:00 |
Hokkaido |
Hokkaido Univ. |
Semi-supervised learning based on Dirichlet process mixture models Naonori Ueda, Takeshi Yamada, Shuhei Kuwata (NTT) DE2007-16 PRMU2007-42 |
[more] |
DE2007-16 PRMU2007-42 pp.87-92 |
PRMU, DE |
2007-06-29 15:45 |
Hokkaido |
Hokkaido Univ. |
Adaptive Parameter Estimation On Multiple-Target Tracking Problem Katsuhiko Ishiguro, Takeshi Yamada, Naonori Ueda (NTT) DE2007-19 PRMU2007-45 |
We address a parameter estimation problem for data association in multi-target tracking task.
Many existing methods re... [more] |
DE2007-19 PRMU2007-45 pp.105-110 |
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 |
AI |
2007-05-31 11:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Personalized Recommendation by Identifying Innovator Noriaki Kawamae, Takeshi Yamada, Naonori Ueda (NTT) AI2007-4 |
(To be available after the conference date) [more] |
AI2007-4 pp.19-24 |
PRMU |
2006-12-15 10:00 |
Fukui |
|
A Prediction Algorithm for the Collaborative Filtering Method based on Marginal Rating Distributions Shuhei Kuwata, Naonori Ueda (NTT) |
[more] |
PRMU2006-172 pp.7-12 |
PRMU |
2006-12-15 10:30 |
Fukui |
|
Semi-supervised classification of heterogeneous data Akinori Fujino, Naonori Ueda, Kazumi Saito (NTT) |
[more] |
PRMU2006-173 pp.13-18 |