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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
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
 Results 1 - 20 of 27  /  [Next]  
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