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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 # |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-17 16:15 |
Okinawa |
Okinawa Institute of Science and Technology |
Imputation of Missing Time-Series Multimodal Data with Variational Autoencoder Ryoichi Kojima, Shinya Wada, Kiyohito Yoshihara (KDDI Research) IBISML2019-8 |
Data is often missing and that results in negative effects on subsequent data analysis and creating machine learning mod... [more] |
IBISML2019-8 pp.51-55 |
PRMU, IE, MI, SIP |
2017-05-25 14:10 |
Aichi |
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Dominant Line Extraction in Multimodal GIS Data Tomohiro Nishikawa, Yuichi Tanaka (TUAT) SIP2017-8 IE2017-8 PRMU2017-8 MI2017-8 |
In this report, we propose a multiple line extraction method from multimodal GIS data distributed in high dimensional sp... [more] |
SIP2017-8 IE2017-8 PRMU2017-8 MI2017-8 pp.43-48 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 11:15 |
Okinawa |
Okinawa Institute of Science and Technology |
Sparse cross-domain matching correlation analysis via L1 regularization Keisuke Kojima (Osaka Univ.), Kei Hirose (Kyushu Univ.), Hidetoshi Shimodaira (Osaka Univ.) IBISML2016-5 |
(To be available after the conference date) [more] |
IBISML2016-5 pp.209-215 |
NC |
2006-01-24 11:15 |
Hokkaido |
Hokkaido Univ. |
Embedding of labeled multimodal data Yuki Shinada, Masashi Sugiyama (Tokyo Tech.) |
In order to improve the recognition accuracy of high dimensional patterns, it is important to appropriately reduce the n... [more] |
NC2005-102 pp.25-30 |
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