Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2022-05-13 15:35 |
Aichi |
Toyota Technological Institute |
Automatic Classification of Cervical Cancer Cells using Deep Learning Yukihiro Tsuboshita, Mitsuaki Okodo (Kyorin Univ.) PRMU2022-9 |
(To be available after the conference date) [more] |
PRMU2022-9 pp.47-51 |
NC, MBE (Joint) |
2019-03-04 14:15 |
Tokyo |
University of Electro Communications |
Statistical Mechanical Analysis of a Perceptron with a Softmax Output Function Yukihiro Tsuboshita, Takashi Sonoda (Fuji Xerox) NC2018-56 |
[more] |
NC2018-56 pp.73-78 |
PRMU |
2018-12-14 14:55 |
Miyagi |
|
Interior style estimation using deep learning techniques for product recommendation. Yusuke Yamaura, Yukihiro Tsuboshita (FX) PRMU2018-91 |
(To be available after the conference date) [more] |
PRMU2018-91 pp.85-90 |
LOIS |
2018-03-01 10:00 |
Okinawa |
Naha-City IT Souzoukan(Okinawa) |
A Method of Automatic Training Data Collection for Office Worker Seated-State using Machine Learning Daisuke Ikeda, Yukihiro Tsuboshita, Takeshi Onishi (Fuji Xerox) LOIS2017-71 |
Nowadays, approximately 75% of all employees in industrial countries are required to work in a seated position. Accordin... [more] |
LOIS2017-71 pp.1-5 |
LOIS, ISEC, SITE |
2017-11-10 11:00 |
Kyoto |
|
Estimation of Office Worker Seated-State with Ambient Sensors Daisuke Ikeda, Yukihiro Tsuboshita, Takeshi Onishi (Fuji Xerox) ISEC2017-63 SITE2017-45 LOIS2017-40 |
Nowadays, approximately 75% of all employees in industrial countries are required to work in a seated position. Long-ter... [more] |
ISEC2017-63 SITE2017-45 LOIS2017-40 pp.87-91 |
HCS |
2017-08-20 16:05 |
Tokyo |
Seikei University |
A Method of Automatic Training Data Collection for Wearable Sensor-based Activity Recognition Yusuke Yamaura, Daisuke Ikeda, Masatsugu Tonoike, Yukihiro Tsuboshita (Fuji Xerox) HCS2017-51 |
In this paper, we target activities associated to objects in non-verbal communication activities and propose a method to... [more] |
HCS2017-51 pp.25-28 |
PRMU, SP, WIT, ASJ-H |
2016-06-13 14:30 |
Tokyo |
|
A Method for Adding Classification Classes in Random Forests Ryota Ozaki, Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox) PRMU2016-42 SP2016-8 WIT2016-8 |
In estimating classes using Random Forests, it is necessary to re-create decision trees with the data of all classes whe... [more] |
PRMU2016-42 SP2016-8 WIT2016-8 pp.41-45 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2013-09-03 16:45 |
Tottori |
|
Community Discovery in Social Network Services using a LDA-based Network Clustering Approach Xiaojun Ma, Yukihiro Tsuboshita (FujiXerox) PRMU2013-53 IBISML2013-33 |
The growing popularity of SNS(Social Network Services) makes it an important information resource, which has motivated a... [more] |
PRMU2013-53 IBISML2013-33 pp.207-212 |
PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-03 10:30 |
Tokyo |
|
Nonparametric Bayesian Estimation for Automatic Image Annotation Using Gaussian Mixture Model Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The universisty of Tokyo) PRMU2012-40 IBISML2012-23 |
Automatic image annotation (AIA) is a process to automatically assign metadata to a digital image in the form of caption... [more] |
PRMU2012-40 IBISML2012-23 pp.93-98 |
PRMU, FM |
2011-12-16 16:00 |
Shizuoka |
Hamamatsu Campus, Shizuoka Univ. |
Image Annotation Using Adapted Gaussian Mixture Model Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox), Masato Okada (The Univ. of Tokyo) PRMU2011-144 |
In the present study, we focus on learning based automatic image annotation method using Gaussian mixture model (GMM) as... [more] |
PRMU2011-144 pp.113-118 |
NLP |
2010-03-10 11:00 |
Tokyo |
|
Statistical Mechanics of Detecting Overlapping Community Structure Yukihiro Tsuboshita (Fuji Xerox/Univ. of Tokyo), Masato Okada (Univ. of Tokyo) NLP2009-174 |
In most of proposed conventional community extraction methods, a network is divided based on the density of the links of... [more] |
NLP2009-174 pp.91-96 |
NC |
2008-01-15 14:40 |
Hokkaido |
Centennial Hall, Hokkaido Univ. |
Statistical-mechanical analysis of neural networks consisting of hysteresis neurons Yukihiro Tsuboshita, Hiroshi Okamoto (Fuji Xerox Co., Ltd.), Masato Okada (Tokyo Univ.) NC2007-90 |
In recent years, neural networks consisting of hysteresis neurons have been getting an important neural network model bo... [more] |
NC2007-90 pp.19-24 |