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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2020-01-29 10:45 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Proposal of Extraction Method of Important Features in Surgical Planning for Mandibular Reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.)  MI2019-70 |
As implicit medical knowledge and experience are used to perform medical treatment, clarification of decision making is ... [more] | MI2019-70 pp.23-28 |
| HCS | 2020-01-26 11:40 |
Oita | Room407, J:COM HorutoHall OITA (Oita) | Modeling for Infant Vocabulary Acquisition System using Deep Reinforcement Learning Masaki Taguchi, Yasuhiro Minami (UEC) HCS2019-73 |
We propose an infant vocabulary acquisition model that identifies psychological infant vocabulary development findings (... [more] | HCS2019-73 pp.111-116 |
| IN | 2020-01-23 13:50 |
Aichi | WINC AICHI | Manga Feature Tag Extraction from Reviews on the Web for e-Book Search Kazuya Murao, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-65 |
In recent years, the digitization of books has progressed, and the number of Web sites for selling e-book comics has inc... [more] | IN2019-65 pp.1-6 |
| IBISML | 2020-01-09 16:45 |
Tokyo | ISM | Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis Y-h. Taguchi (Chuo Univ.) IBISML2019-26 |
Cannonical correlation analysis (CCA) is known to integrate two matrices, each of which have elements, $x_{ij} in mathbb... [more] | IBISML2019-26 pp.55-59 |
| PRMU | 2019-12-19 11:15 |
Oita | A Study on the Extraction Method of Handwritten Chinese Character's Structure Using the Simplicial Complex and Simplicial Approximation Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2019-49 |
We have been investigating a method to extract structural information of handwritten chinese characters, realizing how t... [more] | PRMU2019-49 pp.17-21 |
|
| RISING (2nd) |
2019-11-26 14:10 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Invited Lecture]
Reliable and Low-Energy Wireless Body Area Network by Machine Learning
-- Transmission Power Control based on Human Motion Classification using Features Automatically Extracted From Signal Strength -- Shintaro Sano, Takahiro Aoyagi (Tokyo Tech) |
In wireless body area networks (WBANs), both high reliability and low power consumption are required. Our research group... [more] | |
| BioX | 2019-10-04 09:50 |
Okinawa | Gait feature extractor incorporation of additional labels Kousuke Moriwaki, Daigo Muramatsu, Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2019-61 |
In personal authentication using convolutional neural network, extra labels are often incorporated together with subject... [more] | BioX2019-61 pp.31-35 |
|
| MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
A study of similar network generative model using machine learning Shohei Nakazawa, Kohei Watabe, Kenji Nakagawa (Nagaoka Univ. of Tech.) |
A real topology data are required when we simulate assuming an environment close to a real situation. The real data of t... [more] | |
| EMM, IT | 2019-05-23 14:00 |
Hokkaido | Asahikawa International Conference Hall | Generation of privacy-preserving images holding positional information for HOG feature extraction Masaki Kitayama, Hitoshi Kiya (Tokyo Metro. Univ.) IT2019-1 EMM2019-1 |
In this paper, we propose a generation method of images which have no visual information but hold the gradient direction... [more] | IT2019-1 EMM2019-1 pp.1-6 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 09:55 |
Kagoshima | Kagoshima University | A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image Kouki Ikeda, Kousuke Imamura (Kanazawa Univ.), Hideo Kuroda, Makoto Fujimura (Nagasaki Univ.) IMQ2018-27 IE2018-111 MVE2018-58 |
The digital watermarking technique is used for the prevention of distribution of illegal copies. However, the simply app... [more] | IMQ2018-27 IE2018-111 MVE2018-58 pp.25-29 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:20 |
Kagoshima | Kagoshima University | Study on Head Region Extraction Methods for Human Images Shu Iwata, Tatsuya Yamazaki (Niigata Univ.) IMQ2018-28 IE2018-112 MVE2018-59 |
One of our research objects is to develop an application that provides questions using human head images and to provide ... [more] | IMQ2018-28 IE2018-112 MVE2018-59 pp.31-35 |
| EA, SIP, SP | 2019-03-15 13:30 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | [Poster Presentation]
Design and Evaluation of Ladder Denoising Autoencoder for Auditory Speech Feature Extraction of Overlapped Speech Separation Hiroshi Sekiguchi, Yoshiaki Narusue, Hiroyuki Morikawa (Univ. of Tokyo) EA2018-155 SIP2018-161 SP2018-117 |
Primates and mammalian distinguish overlapped speech sounds from one another by recognizing a single sound source whethe... [more] | EA2018-155 SIP2018-161 SP2018-117 pp.329-333 |
| SIS | 2019-03-06 13:00 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | Evaluation of an FPGA Implementation of MRCoHOG Feature using High-Level Synthesis Yuya Nagamine, Kazuki Yoshihiro, Hakaru Tamukoh (Kyutech) SIS2018-37 |
In this report, we evaluate a Field Programmable Gate Array (FPGA) implementation of Multiresolution Co-occurrence Histo... [more] | SIS2018-37 pp.1-4 |
| MBE | 2019-01-31 10:25 |
Saga | Saga University | Feature extraction of seizures in continuous video EEG Daiya Nakashima, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ), Haruhiko Nohira (Nihon Kohden), Yuichi Kubota (TMG Asaka Medical Center/Tokyo Women's Medical University) MBE2018-58 |
Electroencephalographic (EEG) record provides a significant information in clinical diagnosis of epileptic patients. Esp... [more] | MBE2018-58 pp.5-8 |
| MoNA | 2019-01-17 10:05 |
Kyoto | T. B. D. | Study on Extraction of Important Data Based on Feature Selection Ensemble for Real-time Predictive Information Delivery Takumi Sakai, Ryoichi Shinkuma, Yuichi Inagaki, Takehiro Sato, Eiji Oki (Kyoto Univ) MoNA2018-67 |
Recently, the demands on the services that predict and deliver real-time spatial information, such as road-traffic volum... [more] | MoNA2018-67 pp.57-61 |
| MoNA | 2018-12-25 14:40 |
Tokyo | Detection of Predator Animals Features using Machine Learning Fahad Alharbi, Eiji Kamioka (SIT) MoNA2018-49 |
In this paper, predator animals feature detection is discussed. Animals recognition is one of the areas in which a limit... [more] | MoNA2018-49 pp.61-66 |
|
| PRMU | 2018-12-13 14:40 |
Miyagi | Extracting rules from convolutional neural networks Hiroshi Tsukimoto, Yuya Sato (Tokyo Denki Univ.) PRMU2018-79 |
To understand the inner structures of convolutional neural networks, several techniques of visualization have been devel... [more] | PRMU2018-79 pp.23-28 |
|
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Tensor decomposition based unsupervised feature extraction applied to bioinformatics Y-h. Taguchi (Chuo Univ.) IBISML2018-90 |
Although supervised and reinforcement learning including deap learning performs excellent achievements, it is not applic... [more] | IBISML2018-90 pp.345-352 |
| SR, RCS (Joint) (2nd) |
2018-10-31 10:25 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
A Comparison of Machine Learning Algorithms for Motor Sound Fault Detection Arpith Paida (AIT), Prerapong, Aimaschana Niruntasukrat, Koonlachat Meesublak, Panita (NECTEC) |
Automation plays important role in order to make human activities easier. In industries, machines /motors are used for m... [more] | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 09:50 |
Fukuoka | A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21 |
The local feature extraction used in general object recognition is one of the useful method to recognize the handwritte... [more] |
PRMU2018-44 IBISML2018-21 pp.55-60 |
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