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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 170  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, NLP 2022-03-29
09:40
Online Online Effects of sparse connections in spiking neural networks for unsupervised pattern recognition
Hiroki Shinagawa, Kantaro Fujiwara, Gouhei Tanaka (Univ. of Tokyo) MSS2021-69 NLP2021-140
Recently, the spiking neural network (SNN) models, which compute using spatio-temporal information representation by neu... [more] MSS2021-69 NLP2021-140
pp.71-76
MI 2021-05-17
13:00
Online Online [Special Talk] 40 years of experience in image recognition research
Hiroshi Murase (Nagoya Univ.) MI2021-4
(To be available after the conference date) [more] MI2021-4
p.11
NC, MBE
(Joint)
2020-03-06
13:25
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Modular Reservoir Network for Pattern Recognition
Yifan Dai, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2019-110
This work is based on liquid state machine (LSM) [1], which is a reservoir network [2] that yields deep relationship wit... [more] NC2019-110
p.199
SP, EA, SIP 2020-03-02
15:10
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization
Takayuki Nakachi, Yitu Wang (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) EA2019-130 SIP2019-132 SP2019-79
In this paper, we propose a privacy-preserving pattern recognition method using encrypted sparse representations in L0 n... [more] EA2019-130 SIP2019-132 SP2019-79
pp.169-174
NLP, NC
(Joint)
2020-01-24
17:05
Okinawa Miyakojima Marine Terminal [Invited Talk] Neocognitron: Deep Convolutional Neural Network
Kunihiko Fukushima (FLSI) NLP2019-100
Recently, deep convolutional neural networks (deep CNN) have become very popular in the field of visual pattern recognit... [more] NLP2019-100
pp.79-82
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Bunraku Puppeteer's Real-time "Kata" Motion Discrimination by Nonverbal Information
Tetsuro Sakura (The Univ. of Tokyo), Tomonori Shibuya (NIVR), Kazuhiro Ueda (The Univ. of Tokyo)
In Japanese traditional performing arts “Bunraku,” each Bunraku puppet is cooperatively manipulated by three puppeteers:... [more]
PRMU 2019-10-18
16:15
Tokyo   Recovering Dynamic Trajectory from a handwritten character image using a Deep Neural Network
Tsubasa Nakamura, Nguyen Tuan Cuong, Masaki Nakagawa (TUAT) PRMU2019-41
This paper presents a method to recover a dynamic trajectory from a handwritten character image using a deep neural netw... [more] PRMU2019-41
pp.53-58
ET 2019-07-06
11:00
Iwate Iwate Prefectural University Quantitative Evaluation Method for Teacher Behavior based on Behavior Pattern of Expert Teachers and Beginner Teachers
Shunyu Yao, Sho Ooi, Haruo Noma (Rits Univ.) ET2019-17
A new teacher needs to give tuition from the first day at work. The new teacher is difficult to train tuition in an actu... [more] ET2019-17
pp.11-16
TL 2019-03-18
14:25
Tokyo Waseda University A Multi-Dimensional Thesaurus with Word Associations Function for More Advanced Japanese Semantic Processing
Masahiro Miyazaki (LangueTech/ALR) TL2018-60
Aiming at a breakthrough to overcome the limitations of Japanese semantic processing using existing case patterns and th... [more] TL2018-60
pp.53-58
PRMU, BioX 2019-03-17
13:30
Tokyo   [Fellow Memorial Lecture] From Small Sample Size Problem to Big Data
Shinichiro Omachi (Tohoku Univ.) BioX2018-38 PRMU2018-142
In the field of pattern recognition, how to develop a precise classifier with limited small number of data used to be on... [more] BioX2018-38 PRMU2018-142
pp.59-60
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
17:10
Kagoshima Kagoshima University [Invited Talk] Pattern Optimization Using Evolutionary Computation
Satoshi Ono (Kagoshima Univ.) IMQ2018-51 IE2018-135 MVE2018-82
This study focuses Evolutionary Computation (EC) that is a black-box optimization framework for non-differentiable, glob... [more] IMQ2018-51 IE2018-135 MVE2018-82
pp.165-171
NC, MBE
(Joint)
2019-03-04
09:30
Tokyo University of Electro Communications Transition of informative areas in the human brain during haptic shape recognition of real objects
Shota Eto (UEC), Hironori nakatani (UTokyo), Yoichi Miyawaki (UEC) NC2018-48
Shape information is vital for object recognition and it can be acquired by vision and haptic sensation. Previous studie... [more] NC2018-48
pp.25-30
NC, MBE
(Joint)
2018-12-15
10:50
Aichi Nagoya Institute of Technology Effects of Presenting the Form of Bent Fingers on the Recognition Accuracy of Hand Patterns
Ayumu Takahashi, Noriaki Fujishima (NIT, Matsue College) MBE2018-52
In this paper, the authors describe effects of presenting the form of bent fingers for recognizing hand patterns using a... [more] MBE2018-52
pp.11-14
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] 3D-Skeleton-Based Human Action Recognition with a Combination of Random Convolutional Networks and Echo State Networks
Zhiqiang Tong, Gouhei Tanaka (Univ. of Tokyo) IBISML2018-99
Recognition of human action patterns from sequential data has been intensively studied in recent years. Although many ma... [more] IBISML2018-99
pp.411-417
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-20
10:20
Fukuoka  
Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.) PRMU2018-41 IBISML2018-18
(To be available after the conference date) [more] PRMU2018-41 IBISML2018-18
pp.37-40
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
13:30
Osaka   [Fellow Memorial Lecture] Recognition of Large-Scale, Complex Patterns Enabled by Encounters with Colleagues
Koichi Kise (Osaka Prefecture Univ.) PRMU2017-126 MVE2017-47
I have met a variety of patterns and challenged to recognize them
simply because I have encountered many colleagues who... [more]
PRMU2017-126 MVE2017-47
pp.117-122
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Bunraku Puppeteer's Nonverbal Information transmission of "Kata" Motion
Tetsuro Sakura (The Univ. of Tokyo), Tomonori Shibuya (College, NRCD), Kazuhiro Ueda (The Univ. of Tokyo)
In Japanese traditional performing arts “Bunraku,” each Bunraku puppet is cooperatively manipulated by three puppeteers:... [more]
WIT, HI-SIGACI 2017-12-06
11:00
Tokyo AIST Tokyo Waterfront A Executive Function Evaluation System for Cleaning Action in Virtual Space
Akihito Mihara, Sho Ooi, Mutsuo Sano (Osaka Institute of Tech), Hajime Tabuchi, Fumie Saito, Toshiro Horigome, Satoshi Umeda (Keio Univ.) WIT2017-52
In recent years, the patients with acquired brain injury are more than 500 thousand. However, doctors and apecialized fa... [more] WIT2017-52
pp.19-24
EMM 2017-11-07
11:00
Kagoshima Kagoshima Univ. (Inamori Academy) [Invited Talk] Researches on Impressiveness Multimedia Contents -- Attractiveness Computing using Big Multimedia Data --
Toshihiko Yamasaki (UTokyo) EMM2017-63
Due to the advancement in machine learning and pattern recognition technologies such as deep neural networks, recognitio... [more] EMM2017-63
p.45
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
16:50
Tokyo   [Short Paper]
Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.), Toshio Tsuji (Hiroshima Univ.) PRMU2017-55 IBISML2017-27
This paper proposes a neural network based on the Johnson $S_{rm U}$ distribution that is capable of representing distri... [more] PRMU2017-55 IBISML2017-27
pp.135-136
 Results 1 - 20 of 170  /  [Next]  
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