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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMT, IEE-EMT | 2023-11-09 14:45 |
Yamaguchi | Kaikyo Messe Shimonoseki | Design of Optical Linear Discriminant Filter Using Vector-Diffraction Analysis Yukihiro Noto, Jun-ichiro Sugisaka, Koichi Hirayama, Takashi Yasui (Kitami Inst. Tech.)  EMT2023-65 |
Optical linear-discriminant-analysis filter is a diffractive optical element with a large number of pinholes on the surf... [more] | EMT2023-65 pp.15-20 |
| MI | 2023-05-18 14:00 |
Aichi | Nagoya Congress Center | [Invited Talk]
Tensor Expression for Image Pattern Analysis Hayato Itoh (Nagoya Univ.) MI2023-2 |
Algorithms for discrete images realise the analysis of patterns in images, i.e., image pattern analysis. To design an al... [more] | MI2023-2 pp.2-3 |
| 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 |
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