Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
Meeting Extracts for Discussion Summarization based on Multimodal Nonverbal Information Fumio Nihei, Yukiko Nakano, Yutaka Takase (Seikei Univ.) |
Group discussions are used for various purposes. It is desirable to archive the results and processes of the discussion ... [more] |
|
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 |
PRMU, IPSJ-CVIM, MVE [detail] |
2016-01-21 10:00 |
Osaka |
|
Sleeping Posture Classification Using E-Textile Pressure Sensor Chihiro Hayashi, Kensho Hara, Yu Enokibori, Kenji Mase (Nagoya Univ.) PRMU2015-117 MVE2015-39 |
One of causes of pressure ulcer is long time sleeping with the same posture; therefore, care takers maintain subjects po... [more] |
PRMU2015-117 MVE2015-39 pp.41-46 |
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 |
LOIS |
2015-03-05 10:50 |
Okinawa |
|
Behavior analysis of persons by classification of moving routes Ryo Seto, Masanobu Abe, Sunao Hara (Okayama Univ.) LOIS2014-66 |
In this paper, we propose a method to behavior analysis of persons using GPS data to focus on how human have activity. W... [more] |
LOIS2014-66 pp.31-36 |
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 |
PRMU, IPSJ-CVIM, MVE [detail] |
2015-01-23 10:15 |
Nara |
|
Relation between Data Grouping and Robustness to Unseen Data in Large Geometric Margin Minimum Classification Error Training Hiroyuki Shiraishi (Doshisha Univ), Hideyuki Watanabe (NICT), Shigeru Katagiri (Doshisha Univ), Xugang Lu, Chiori Hori (NICT), Miho Ohsaki (Doshisha Univ) PRMU2014-101 MVE2014-63 |
To develop a pattern classifier that is robust to unseen pattern samples, classifier parameters have been conventionally... [more] |
PRMU2014-101 MVE2014-63 pp.177-182 |
PRMU |
2014-12-12 10:00 |
Fukuoka |
|
Improvement of Feature Space Construction for Pattern Representation on Data Compression Yuji Nakajima, Hisashi Koga, Takahisa Toda (UEC) PRMU2014-76 |
Recent years have witnessed an increased interest about compression-based methods, which is basically parameter-free app... [more] |
PRMU2014-76 pp.63-68 |
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 16:15 |
Oita |
B-ConPlaza |
General-Purpose Pattern Recognition Processor Based on the k Nearest-Neighbor Algorithm with High-Speed, Low-Power Shogo Yamasaki, Toshinobu Akazawa, Fengwei An, Hans Juergen Mattausch (Hiroshima Univ.) VLD2014-75 DC2014-29 |
A learning and pattern recognition processors for the k nearest neighbor (k-NN) recognition algorithm using a nearest Eu... [more] |
VLD2014-75 DC2014-29 pp.21-26 |
IA |
2014-11-06 11:30 |
Overseas |
Thailand |
[Poster Presentation]
Vehicle Classification Using Geometric Pattern and A Neural Network for Toll way Pachara Siriborirak, Kosin Chamnongthai (King Mongkut Univ. of Tech.) IA2014-45 |
Processing in payment at toll takes time, and sometimes causes traffic congestion in the highway. To determine prices of... [more] |
IA2014-45 p.63 |
WIT |
2014-10-19 16:30 |
Kumamoto |
|
EMG motion classification based on Wavelet transformation Takayuki Mukaeda, Nan Bu (National Institute of Technology, Kumamoto Col.) WIT2014-45 |
Studies of motion classification using EMG signal are has been performed in many cases. Recently, study utilizing freque... [more] |
WIT2014-45 pp.33-37 |
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 |
LOIS, IPSJ-CN, IPSJ-SPT |
2014-05-15 14:30 |
Tokyo |
|
A Study for Detection of User Terminal Operations by Classifying Time-Series Packets Data Pattern Erika Ashikaga, Shigekuni Kondo, Motonori Tamaki, Takuya Indo (NTT) LOIS2014-4 |
Researches of lifelog obtained at office area (so-called "office-lifelog") have attracted attention in recent years. The... [more] |
LOIS2014-4 pp.45-50 |
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 |
MI |
2014-01-27 10:20 |
Okinawa |
Bunka Tenbusu Kan |
Analysis of early colorectal tumorous lesions using colon NBI images Hiroshi Toyota (Yamaguchi Univ.), Rui Xu (Ritsumeikan Univ.), Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Taku Sakamoto, Yutaka Saito (NCC Hosp.) MI2013-94 |
In the diagnosis of colorectal cancer using an endoscope, the vascular structures of polyps are important. Vascular stru... [more] |
MI2013-94 pp.211-214 |
MI |
2014-01-27 13:30 |
Okinawa |
Bunka Tenbusu Kan |
Investigation on Classification of Benign and Malignant Masses on Mammograms by Use of Modified Local Ternary Pattern Chisako Muramatsu, Min Zhang, Takeshi Hara (Gifu Univ), Tokiko Endo (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2013-118 |
We have been investigating an image analysis method for assisting the differential diagnosis of breast masses on mammogr... [more] |
MI2013-118 pp.327-330 |
NC, MBE |
2013-09-25 11:45 |
Niigata |
Niigata University Ekinan-Campus "TOKIMATE" |
A Study on Classification of Emotional State Using HRV and Chaos Analysis of ECG Akira Ohashi (Nagaoka Univ. of Tech.), Naoki Jinbo, Ryo Shinozaki (UNION TOOL CO.), Masahiro Nakagawa (Nagaoka Univ. of Tech.) MBE2013-55 NC2013-41 |
Evaluation methods of the human mental condition are the subject investigated of actively. In this
study, we propose a ... [more] |
MBE2013-55 NC2013-41 pp.107-112 |
KBSE |
2013-09-13 15:00 |
Tokyo |
The University of Electro-Communications |
A classification method in identifying security patterns for a dependable Security Case
-- From Security Patterns to D-Case -- Vaise Patu, Nada Olayan, Shuichiro Yamamoto (Nagoya Univ.) KBSE2013-52 |
Today's software systems are facing new and complicated challenges in confronting with security issues. There are lots o... [more] |
KBSE2013-52 pp.91-96 |
NC, IPSJ-BIO |
2013-06-28 15:10 |
Okinawa |
Okinawa Institute of Science and Technology |
Effect of Pattern Coding on Pattern Classification Neural Networks Tomohiro Tanno, Kazumasa Horie, Takaaki Kobayashi, Masahiko Morita (Univ. of Tsukuba) NC2013-13 |
Recent studies reported that the performance of layered neural networks to approximate multivariable functions improves ... [more] |
NC2013-13 pp.139-143 |