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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, CAS |
2019-10-22 15:30 |
Gifu |
Gifu Univ. |
Consideration of input data in person recognition by gait using Extreme Learning Machine Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2019-34 NLP2019-74 |
In this research, we consider a method of person recognition using an Extreme Learning Machine (ELM) whose inputs are Ga... [more] |
CAS2019-34 NLP2019-74 pp.55-60 |
CAS, NLP |
2018-10-19 09:30 |
Miyagi |
Tohoku Univ. |
Person recognition by gait using an Extreme Learning Machine Hayato Benitani, Masaharu Adachi (Tokyo Denki Univ.) CAS2018-49 NLP2018-84 |
In this research, we propose a method of person recognition using an Extreme Learning Machine (ELM). We proposed an ELM ... [more] |
CAS2018-49 NLP2018-84 pp.63-68 |
BioX |
2017-10-12 15:35 |
Okinawa |
Nobumoto Ohama Memorial Hall |
Performance Evaluation of Gait Recognition by Metric Learning using Joint Intensity Histogram Yushiro Kashimoto, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2017-28 |
We evaluate the performance of gait recognition algorithm using metric learning based on log-likelihood ratio of joint i... [more] |
BioX2017-28 pp.17-22 |
PRMU, BioX |
2017-03-20 10:00 |
Aichi |
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Robust Gait Recognition for Carrying-Status by SVM-based Metric Learning using Joint Intensity Histogram Atsuyuki Suzuki, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2016-37 PRMU2016-200 |
This paper describes a method of joint intensity metric learning to improve the robustness of gait recognition under car... [more] |
BioX2016-37 PRMU2016-200 pp.23-28 |
PRMU, BioX |
2016-03-25 10:15 |
Tokyo |
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Cross-view Gait Recognition using Convolutional Neural Network Kohei Shiraga, Yasushi Makihara, Daigo Muramatsu (Osaka Univ.), Tomio Echigo (Osaka Electro-Communication Univ.), Yasushi Yagi (Osaka Univ.) BioX2015-57 PRMU2015-180 |
We propose a robust cross-view gait recognition method employing a convolutional neural network (CNN) in this paper. We ... [more] |
BioX2015-57 PRMU2015-180 pp.87-92 |
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