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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 53  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
14:10
Tokushima Naruto University of Education Identification of Hand Grasping and Opening Movements Based on EEG Feature Extraction during Motion Imaginary
Reo Shoji, Jianqing Wang (NIT) NLP2023-111 MICT2023-66 MBE2023-57
Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands f... [more] NLP2023-111 MICT2023-66 MBE2023-57
pp.127-132
EMCJ 2023-01-27
09:20
Okayama WASHU BLUE RESORT
(Primary: On-site, Secondary: Online)
Identification of Hand Grasping Movement Based on EEG Feature Extraction
Reo Shoji, Jianqing Wang (NITech) EMCJ2022-73
Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands f... [more] EMCJ2022-73
pp.6-11
EMM 2020-01-27
15:45
Miyagi Tohoku Univ. Extraction of Artificial Fiber Pattern from Video Using Deep Learning technique
Noda Tomo, Kaneda Kitahiro, Iwamura Keiichi (Tokyo Univ. of Science) EMM2019-100
We are studying the realization of a human monitoring system that collects human movements by detecting a unique ID embe... [more] EMM2019-100
pp.31-36
AI 2016-12-09
10:05
Oita   Extraction of Current Actual Status and Demand Expressions in Community Complaint Reports
Yuta Sano, Tsunenori Mine (Kyushu Univ.) AI2016-12
Government 2.0 activities have become popular. Using the tools, anyone can share reports with other people on the Web. O... [more] AI2016-12
pp.1-6
PRMU 2016-10-21
16:20
Miyazaki   Study of template matching application of a steganography (ANGO) -- Interdisciplinary cryptography and image processing --
Hirokazu Ishizuka (Kyudai), Isao Echizen (NII), Keiichi Iwamura (TUS), Koichi Sakurai (Kyudai) PRMU2016-108
We propose a steganographic method called ANGO using Ango Sakaguchi's
novel ``ANGOU'' as a hint. Go through the study ... [more]
PRMU2016-108
pp.97-102
IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] 2016-08-08
15:40
Fukuoka   Proposal of Extraction Method of Sealant Region using Color Pattern Illumination and YCbCr Color Space
Shingo Aramaki, Shota Nakashima, Kanya Tanaka (Yamaguchi Univ.), Atsushi Sanada (NIT) IE2016-51
In recent years, automation inspection systems using image processing are developed in appearance inspection of producti... [more] IE2016-51
pp.33-36
EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2016-07-14
13:50
Yamaguchi   Study of an information extraction method using artificial fiber pattern with a clear ink
Yuki Matsue (TUS), Kitahiro Kaneda (OPU), Keiichi Iwamura (TUS), Isao Echizen (NII) ISEC2016-15 SITE2016-9 ICSS2016-15 EMM2016-23
Our laboratory has developed “single dot method”, which is one of a nearly invisible pattern as new information embeddin... [more] ISEC2016-15 SITE2016-9 ICSS2016-15 EMM2016-23
pp.13-18
PRMU, BioX 2016-03-24
14:00
Tokyo   Reconsideration on Text/Non-text Classification for Online Handwritten Ink Documents by BLSTM Neural Networks
Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) BioX2015-52 PRMU2015-175
This paper reports reconsideration on text/non-text classification in online handwritten documents by BLSTM neural netwo... [more] BioX2015-52 PRMU2015-175
pp.65-70
NC, NLP
(Joint)
2016-01-28
15:00
Fukuoka Kyushu Institute of Technology Off-Chip Learning Algorithm for Hardware Hand-Sign Recognition System
Masayuki Tamaki, Hikawa Hiroomi (Kansai Univ) NC2015-57
This paper discusses a new off-chip learning algorithm for hardware hand sign recognition system. The hand sign
recogni... [more]
NC2015-57
pp.7-12
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan An Image-based Classification Algorithm for the Non-invasive Quality Evaluation of Confluent Cells
Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2015-130
With recent progress of cell and tissue therapy in regenerative medicine, novel classification method of cell quality ha... [more] MI2015-130
pp.277-282
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-24
16:00
Okinawa Okinawa Institute of Science and Technology [Invited Talk] Deep Convolutional Neural Network Neocognitron and its Advances
Kunihiko Fukushima (FLSI) NC2015-3 IBISML2015-20
The neocognitron is a multi-layered convolutional network that can be trained to recognize visual patterns robustly. In ... [more] NC2015-3 IBISML2015-20
pp.49-54(NC), pp.165-170(IBISML)
MI 2015-03-02
11:18
Okinawa Hotel Miyahira Setting of Volume-of-Interests of Pattern Classification for Diffuse Lung Diseases using Watershed algorithm on CT images
Yumi Takeshita (Yamaguchi Univ.), Rie Tachibana (OCMT), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-63
We propose a method for the classification of seven kinds of diffuse lung disease patterns with arbitrary region of inte... [more] MI2014-63
pp.55-58
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Importance-Weighted Covariance Estimation for Robust Common Spatial Pattern
Alessandro Balzi (PoliMi), Florian Yger, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-40
Non-stationarity is an important issue for practical applications of machine learning methods. This issue particularly a... [more] IBISML2014-40
pp.41-48
IE, EMM, LOIS, IEE-CMN, ITE-ME [detail] 2014-09-18
17:35
Kochi   [Invited Talk] Pedestrian Detection with an In-Vehicle Camera
Guoyue Chen, Xingguo Zhang, Kazuki Saruta, Yuki Terata (Akita Prefectural Univ.) LOIS2014-24 IE2014-37 EMM2014-54
Every year almost 1 million people are killed in traffic crashes. Over the past twenty years, research has moved toward ... [more] LOIS2014-24 IE2014-37 EMM2014-54
p.59
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2014-06-26
15:50
Okinawa Okinawa Institute of Science and Technology Pattern Recognition using feature extractor of K-SVD
Hiroki Sugita (UEC), Hiroaki Sasaki (Tokyo Inst. of Tech.), Hayaru Shouno (UEC) NC2014-7 IBISML2014-7
Feature extraction and classification are fundamental two steps in pattern recognition systems. Since feature extraction... [more] NC2014-7 IBISML2014-7
pp.101-106
PRMU 2014-03-14
15:00
Tokyo   Feature Extraction Using Local Gradient Pattern
Hiroki Terashima, Takuya Kida (Hokkaido Univ.) PRMU2013-209
Local Binary Pattern (LBP) is an image feature that widely used for image classification.This feature consists of a hist... [more] PRMU2013-209
pp.247-252
ICM 2014-03-14
10:00
Okinawa   Mining normal log sequential patterns for failure analysis of enterprise system
Ryosuke Togawa, Shinjiro Yagi (NEC) ICM2013-62
Log messages of information systems have specific patterns. They are important for failure analysis to detect error mess... [more] ICM2013-62
pp.63-68
EMM 2014-03-08
13:50
Ishikawa JAIST Novel proposal and evaluation of information extraction from Artificial Fiber Pattern using a camera
Shunsuke Oda, Kitahiro Kaneda, Keiichi Iwamura (Tokyo Univ. of Science), Isao Echizen (NII) EMM2013-117
We have proposed a new information hiding method using an Artificial Fiber Pattern. Artificial Fiber pattern is integrat... [more] EMM2013-117
pp.105-110
SS, KBSE 2013-07-25
15:00
Hokkaido   Network analysis for Software Patterns in Portland Pattern Repository
Hironori Washizaki (Waseda Univ.), Takeshi Kawamura (USOL Tokyo), Masashi Kadoya, Yoshiaki Fukazawa (Waseda Univ.) SS2013-18 KBSE2013-18
We applied the technique of network analysis to collection site Portland Pattern Repository (henceforth, PPR) of the sof... [more] SS2013-18 KBSE2013-18
pp.31-36
EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2013-07-18
13:45
Hokkaido   Implementation and Evaluation of an error correction code suitable for the information hiding method using the single-dot method
Hiroyasu Kitazawa, Kitahiro Kaneda, Keiichi Iwamura (Tokyo Univ. of Science), Isao Echizen (NII) ISEC2013-28 SITE2013-23 ICSS2013-33 EMM2013-30
There is no doubt that paper media is an important media in current electronic proceeded .However, studies of protection... [more] ISEC2013-28 SITE2013-23 ICSS2013-33 EMM2013-30
pp.205-212
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