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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
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
 Results 1 - 12 of 12  /   
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