| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2022-09-29 10:50 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Improvement of AdaBoost algorithm for spiking neural networks Masaya Kawaguchi, Jun Ohkubo (Saitama Univ.)  NC2022-34 |
Unlike artificial neural networks (ANNs), which have been widely used recently, spiking neural networks (SNNs) have attr... [more] | NC2022-34 pp.6-10 |
| PRMU | 2019-12-19 10:45 |
Oita | PRMU2019-47 |
(To be available after the conference date) [more] | PRMU2019-47 pp.7-12 |
|
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Revising the Algorithm of Ensenble Learning by an Index of Complementarity among Weak Learners Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba) IBISML2018-102 |
In ensemble learning, the performance of each weak learner and their acquisition of complementary functions affects the ... [more] | IBISML2018-102 pp.429-434 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 09:40 |
Fukuoka | Arrangement of Complementary Weak Learners using Weights Assigned to Data in Parallel Ensemble Learning Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba) PRMU2018-37 IBISML2018-14 |
The accuracy of each weak learner and acquisition of complementary functions among weak learners are important for impro... [more] | PRMU2018-37 IBISML2018-14 pp.9-15 |
|
| SIS | 2016-06-10 09:30 |
Hokkaido | Kushiro Tourism and Convention cent. | Relation between Image Blur of Foreground Object and Detection Accucary on Blur-Based Object Detection Shingo Kobayashi, Ryusuke Miyamoto (Meiji Univ.) SIS2016-10 |
The authors proposed the method about object detection scheme use image blur. The study so far, we only used the obje... [more] |
SIS2016-10 pp.49-54 |
| SIS | 2016-03-10 11:30 |
Tokyo | Tokyo City Univ. | Arrhythmia Detection based on deformable model of ECG Yuuka Hirao, Jaehoon Yu, Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) SIS2015-52 |
In treatment for heart disease, it is important to detect arrhythmia in early stage. For this purpose, it is necessary ... [more] |
SIS2015-52 pp.25-30 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-07 17:15 |
Okinawa | Classification of MRI Images of Alzheimer's Disease without Extraction of Anatomical Region of Interest. Yurino Oda, Daisuke Sugimura, Takayuki Hamamoto (TUS) IMQ2015-48 IE2015-147 MVE2015-75 |
In this paper, we propose a method to classify Alzheimer's disease and mild cognitive impairment in MRI images. Previous... [more] | IMQ2015-48 IE2015-147 MVE2015-75 pp.113-116 |
|
| VLD | 2016-03-02 10:55 |
Okinawa | Okinawa Seinen Kaikan | Lithography Hotspot Detection Using Histogram of Oriented Light Propagation Yoichi Tomioka (UoA), Tetsuaki Matsunawa (Toshiba) VLD2015-136 |
In recent semiconductor manufacturing process, it is essential to detect and to remove lithography hotspots, which induc... [more] | VLD2015-136 pp.143-148 |
| VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2015-12-03 10:10 |
Nagasaki | Nagasaki Kinro Fukushi Kaikan | High-level synthesis of an image-based human detection FPGA system with a machine learning technique Ryo Fujita, Masahito Oishi, Yoshiki Hayashida, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.) RECONF2015-58 |
In this paper, we discuss an FPGA implementation of image-based human detection system using histograms of oriented grad... [more] | RECONF2015-58 pp.57-62 |
| RECONF | 2015-09-18 09:50 |
Ehime | Ehime University | Comparison of machine learning classifiers for HOG-based human detection on an FPGA Masahito Oishi, Yoshiki Hayashida, Ryo Fujita, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.) RECONF2015-34 |
In this paper, we compare Real AdaBoost and a linear SVM from a view point of FPGA implementation of an image-based huma... [more] | RECONF2015-34 pp.13-18 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 14:30 |
Hokkaido | Hokkaido Univ. | Human Tracking Method by Particle Filter Using ORB Feature Value Kota Ito, Akira Kubota (Chuo Univ.) ITS2014-56 IE2014-83 |
Human tracking techniques have been attracted in security and marketing applications. In this report, we present a learn... [more] | ITS2014-56 IE2014-83 pp.203-208 |
| PRMU, CNR | 2015-02-20 17:00 |
Miyagi | Automatic rejection region partitioning for wearable face recognition system Shoji Kurakake (NTT DOCOMO) PRMU2014-158 CNR2014-73 |
Face recognition applications using a camera equipped smart glasses are expected to cultivate new use cases that are not... [more] | PRMU2014-158 CNR2014-73 pp.233-238 |
|
| VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 11:35 |
Oita | B-ConPlaza | Efficient FPGA resource allocation for HOG-based human detection Masahito Oishi, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.) RECONF2014-39 |
In this paper, we discuss implementation for highly efficient and compact FPGA implementation of an image-based real-ti... [more] |
RECONF2014-39 pp.31-36 |
| MBE, BioX | 2014-09-12 17:00 |
Nagano | Shinshu University | [Poster Presentation]
Effects of Environmental Changes On the Authentication Accuracy in a Multi-modal Personal Authentication Qian Shi, Satoshi Katsurai, Yoshinobu Kajikawa (Kansai Univ.) BioX2014-23 MBE2014-46 |
In this study, we examine the effects of environmental changes on the authentication accuracy in a multi-modal personal ... [more] | BioX2014-23 MBE2014-46 pp.69-70 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 10:00 |
Ibaraki | A Note on Improvement in the Rate of a Prediction Error of AdaBoost in Pattern Recognition Hideyuki Masui, Ryoma Tsuduki, Nozomi Miya, Toshiyasu Matsushima (Waseda Univ.) PRMU2014-36 IBISML2014-17 |
AdaBoost is an algorithm used for pattern recognition. This algorithm successively makes the model which minimizes an er... [more] | PRMU2014-36 IBISML2014-17 pp.1-6 |
|
| PRMU | 2014-06-20 10:00 |
Tokyo | A novel preprocessing technique for training Viola-Jones hand detector Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2014-28 |
Viola-Jones method combines Haar-like features with AdaBoost classifier. It is widely used in real time object detection... [more] | PRMU2014-28 pp.37-41 |
|
| RECONF | 2014-06-12 09:25 |
Miyagi | Katahira Sakura Hall | Optimized HOG for database system Mao Hatto, Takaaki Miyajima, Hiroki Matsutani, Hideharu Amano (Keio Univ.) RECONF2014-3 |
As technology of High Performance Computing and Pattern Recognition has evolved rapidly, Human Detection system also ha... [more] |
RECONF2014-3 pp.11-16 |
| MI | 2014-01-27 13:30 |
Okinawa | Bunka Tenbusu Kan | Improvement of CAD scheme for detection of lacunar infarcts in MR images using AdaBoost template matching Ayaka Tanigawa (Gifu Univ.), Yoshikazu Uchiyama (Kumamoto Univ.), Chisako Muramatsu, Takeshi Hara (Gifu Univ.), Junji Shiraishi (Kumamoto Univ.), Hiroshi Fujita (Gifu Univ.) MI2013-117 |
Asymptomatic lacunar infarcts are often detected in MR images at the health check system for brain diseases. The existen... [more] | MI2013-117 pp.323-326 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
A boosting method considering tolerance against noisy data by weighting each data according to the distance between incidents Shinjiro Fujita, Sayaka Kamei, Satoshi Fujita (Hiroshima Univ.) IBISML2013-38 |
AdaBoost is one of the major ensemble learning methods. It is easy to implement and has high classification accuracy. ... [more] |
IBISML2013-38 pp.15-21 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 09:30 |
Tottori | Reducing False Positive Rate for Viola-Jones Method in Hand Detection Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2013-45 IBISML2013-25 |
The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost class... [more] | PRMU2013-45 IBISML2013-25 pp.149-153 |
|
[Return to Top Page]