Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MSS |
2024-03-13 16:05 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Effectiveness and Validation of Feature Scaling in Image Classification Tasks Using CNN Hiroki Tamegai, Kenya Jinno (TCU) MSS2023-81 NLP2023-133 |
In image classification tasks, features are extracted using neural networks and learning is performed by calculating the... [more] |
MSS2023-81 NLP2023-133 pp.54-57 |
EMT, IEE-EMT |
2023-11-10 10:45 |
Yamaguchi |
Kaikyo Messe Shimonoseki |
A Method for Detecting Persons Behind Walls using Pulse Radar Kasagi Taisei, Alfred Kik, Kajihara Yasuhiro, Suzuki Yukihisa (Tokyo Metropolitan Univ.) EMT2023-78 |
This paper proposes a method to detect objects behind a wall by analyzing the round-trip time of a radio pulse wave. Add... [more] |
EMT2023-78 pp.87-90 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 16:25 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) PRMU2022-123 IBISML2022-130 |
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] |
PRMU2022-123 IBISML2022-130 pp.347-354 |
WIT, ASJ-H |
2019-02-08 10:30 |
Ehime |
Ehime Univ. |
Study on sign language recognition using machine learning Yuta Takahashi, Tsutomu Kimura (NITTC), Kazuyuki Kanda (Minpaku) WIT2018-60 |
Our purpose is to recognize kinetic movements in sign language through machine learning which consists of a recurrent ne... [more] |
WIT2018-60 pp.59-64 |
SSS |
2018-09-25 14:10 |
Tokyo |
|
Neural network based cause reclassification of incidents at dispensing in pharmacies. Yoshiki Kobari (SIT), Masaomi Kimura (Shibaura Inst. of Tech.) SSS2018-21 |
Incidents in pharmacies are the cases whose causes are common with medical accidents. Most of the root cause of incident... [more] |
SSS2018-21 pp.9-12 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Efficient leave-one-out cross-validation for L2-regularized classifier Shota Okumura, Yoshiki Suzuki, Kohei Ogawa, Yuki Shinmura, Ichiro Takeuchi (NIT) IBISML2014-44 |
Leave-one-out cross-validation (LOOCV) is a useful tool
for estimating generalization performances of
various machine ... [more] |
IBISML2014-44 pp.73-80 |
AP |
2013-12-12 15:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Development of GHz Band Wide Rande Conical Dipole Antenna
-- Development Process and Validation of the Design Specification -- Atsuya Maeda (Maeda Assoc. Inc.), Shuichi Kobayashi (VLAC), Ikuo Makino (FGL), Hiroyuki Shimanoe (S Tech), Kenji Ono (AD TECH) AP2013-132 |
Antennas use for evaluation of the radiated emission measurement site in frequency range 1 GHz to 18 GHzshall have omni-... [more] |
AP2013-132 pp.41-46 |
IBISML |
2013-11-12 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Exaluation of Revised IP-OLDF with S-SVM, LDF and logistic regression by K-fold cross-validation Shuichi Shinmura (Seikei Univ.) IBISML2013-44 |
In this paper, Revised IP-OLDF based on MNM criterion is proposed using a mixed integer programming. The new discriminan... [more] |
IBISML2013-44 pp.61-68 |
NLC |
2012-08-31 15:10 |
Kanagawa |
Fuji Xerox |
Feature Words that Describe Problem Sentence in Scientific Article Toshihiko Sakai, Sachio Hirokawa (Kyushu Univ.) NLC2012-23 |
The literature survey on related work requires a lot of efforts in reading all articles that are retrieved by queries. W... [more] |
NLC2012-23 pp.73-78 |
SR, RCS, SRW (Joint) |
2012-03-09 13:25 |
Kanagawa |
YRP |
Method for Location Estimation of Cellular Phone with Illegal Use Kentaro Sano, Masahiro Watanabe, Gia Khanh Tran, Kei Sakaguchi, Kiyomichi Araki (Tokyo Tech), Daisuke Hayashi, Shintaro Arata (Koden) SR2011-131 |
This paper proposes a method for location estimation of a cellular phone with illegal use using multiple sensors in an i... [more] |
SR2011-131 pp.189-194 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Kernel and Feature Search in Kernel PCA Alam Md. Ashad (SOKENDAI), Kenji Fukumizu (ISM) IBISML2011-49 |
During the last decade, unsupervised learning has become an important application area of the kernel
methods. While the... [more] |
IBISML2011-49 pp.47-56 |
R |
2011-10-21 13:30 |
Fukuoka |
|
Advance Estimate of Accuracy of Predicting Normal State by using DB model for Fault Detection Kohei Tanaka, Akemi Fujihara, Naoki Kimura, Yoshifumi Tsuge (Kyushu Univ.) R2011-27 |
In a plant with load-fluctuations, it is difficult to detect the abnormality because the normal values are not
constan... [more] |
R2011-27 pp.1-6 |
NC, MBE (Joint) |
2011-03-08 10:40 |
Tokyo |
Tamagawa University |
Effect of Information Source on Cross Validation in Variational Bayes Learning Shinji Oyama, Sumio Watanabe (Tokyo Tech.) NC2010-167 |
The variational Bayes learning provides high generalization performance as the Bayes learning using a small computationa... [more] |
NC2010-167 pp.235-240 |
ICD |
2010-12-16 13:00 |
Tokyo |
RCAST, Univ. of Tokyo |
[Invited Talk]
Measurement and Characteristics Validation of On-chip Signal and Power Noise
-- Looking back on my doctoral course -- Yasuhiro Ogasahara (Renesas Electronics Corp.) ICD2010-98 |
This paper describes measurement results of inductive coupling effect on timing, and validation of interconnect model. T... [more] |
ICD2010-98 pp.19-24 |
IBISML |
2010-11-04 15:00 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
Methods of Cross-Domain Object Matching Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-61 |
The goal of \emph{cross-domain object matching} (CDOM) is to find correspondence between two sets of objects in differen... [more] |
IBISML2010-61 pp.13-18 |
IBISML, PRMU, IPSJ-CVIM [detail] |
2010-09-06 09:00 |
Fukuoka |
Fukuoka Univ. |
A Study of Variances of Cross-Validation and Generalization Error in Variational Bayes Method Shinji Oyama, Sumio Watanabe (Tokyo Tech.) PRMU2010-74 IBISML2010-46 |
Variational Bayes method provides high generalization performance as the Bayes method using a small computational cost a... [more] |
PRMU2010-74 IBISML2010-46 pp.135-142 |
IBISML, PRMU, IPSJ-CVIM [detail] |
2010-09-06 10:40 |
Fukuoka |
Fukuoka Univ. |
Minimum Classification Error Training with Automatic Control of Loss Smoothness Junichi Tokuno (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2010-80 IBISML2010-52 |
The smoothness embedded in the Minimum Classification Error formalization has an effect of increasing virtual training s... [more] |
PRMU2010-80 IBISML2010-52 pp.179-184 |
SP |
2010-06-18 13:00 |
Fukuoka |
Kyushu University |
[Tutorial Invited Lecture]
Pattern Recognition and Machine Learning Takio Kurita (Hiroshima Univ.) SP2010-32 |
Recent rapid progress of computer and internet, a huge amount of information is accumulated. It is potentially important... [more] |
SP2010-32 pp.61-66 |
IBISML |
2010-06-15 17:30 |
Tokyo |
Takeda Hall, Univ. Tokyo |
Biases of error rate by selection of models or algorithms and estimating the true error rate Issei Kurahashi, Yasuo Ohashi (Univ. of Tokyo.) IBISML2010-28 |
Many algorithms are proposed for prediction some group due to meaningful developments recent years. Prediction models or... [more] |
IBISML2010-28 pp.197-204 |
R |
2009-06-19 14:55 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A study on Non-parametric Estimation of Software Reliability Shintaro Mizoguchi, Tadashi Dohi (Hiroshima Univ.) R2009-21 |
In past a huge number of parametric software reliability models have been developed with
the aim of quantitative estim... [more] |
R2009-21 pp.23-28 |