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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 # |
NLC, IPSJ-NL |
2023-03-18 10:25 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
NLC2022-20 |
(To be available after the conference date) [more] |
NLC2022-20 pp.7-11 |
IBISML |
2016-03-17 13:25 |
Tokyo |
Institute of Statistical Mathematics |
Max-Margin Latent Feature Relational Models with Dual Decomposition for Relational Attribute Prediction Tsubasa Nishide, Koji Eguchi (Kobe Univ.) IBISML2015-95 |
(To be available after the conference date) [more] |
IBISML2015-95 pp.9-16 |
DE, IPSJ-DBS, IPSJ-IFAT |
2013-07-23 16:00 |
Hokkaido |
Hokkaido University |
Gibbs Sampling Estimation of Maximum Margin Supervised Topic Models for Regression Ryosuke Ueno, Koji Eguchi (Kobe Univ.) DE2013-31 |
Regression based on latent topics is one of the promising approaches for analyzing a collection of documents associated ... [more] |
DE2013-31 pp.187-192 |
PRMU |
2013-06-10 13:30 |
Tokyo |
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Topic Models Taking into Account Burstiness of Local Features in Video Yang Xie, Koji Eguchi (Kobe Univ.) PRMU2013-20 |
In this paper we propose a topic model, Corr-DCMLDA, which can integrate visual words and the corresponding speech trans... [more] |
PRMU2013-20 pp.5-10 |
IBISML |
2011-03-28 11:30 |
Osaka |
Nakanoshima Center, Osaka Univ. |
MPI/OpenMP Hybrid Parallel Inference for Latent Dirichlet Allocation Shotaro Tora, Koji Eguchi (Kobe Univ.) IBISML2010-118 |
In recent years, probabilistic topic models have been applied to various kinds of data including text data, and its effe... [more] |
IBISML2010-118 pp.101-108 |
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