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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 # |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-03-01 15:50 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Multiscale Manifold Clustering and Embedding with Multiple Kernels Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2022-123 SIP2022-167 SP2022-87 |
This paper presents a clustering and embedding method to analyze data which lie on a union of multiple manifolds having ... [more] |
EA2022-123 SIP2022-167 SP2022-87 pp.276-281 |
NLP, NC (Joint) |
2020-01-24 10:30 |
Okinawa |
Miyakojima Marine Terminal |
Visualization of Relational data by Embedding to Direct Product Space Kazuki Miyazaki, Ryuji Watanabe, Tetsuo Furukawa (Kyutech) NC2019-63 |
The aim of this work is to develop a modeling method of relational data. Relational data is a dataset observed obtained ... [more] |
NC2019-63 pp.23-26 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 10:00 |
Okinawa |
Okinawa Institute of Science and Technology |
A Supervised Learning Approach to Causal Inference for Bivariate Time Series Yoichi Chikahara, Akinori Fujino (NTT) IBISML2016-2 |
Causal inference in time series is a problem to estimate the underlying causal relationship between time-dependent varia... [more] |
IBISML2016-2 pp.189-194 |
SP, IPSJ-SLP (Joint) |
2014-07-25 14:20 |
Iwate |
Hotel Hanamaki |
[Invited Talk]
Karnel method for Bayesian inference and its applications Kenji Fukumizu (ISM) SP2014-69 |
As a kernel framework for statsitical inference, "kernel mean embedding" has been recently developed, in which probabili... [more] |
SP2014-69 pp.37-40 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Distributional Statistics Estimation via Kernel Mean Embeddings
-- Density Function, Credible interval, and Moment Estimation -- Motonobu Kanagawa (SOKENDAI), Kenji Fukumizu (ISM) IBISML2013-55 |
The RKHS embedding approach for nonparametric statistical inference, in which probability distributions are represented ... [more] |
IBISML2013-55 pp.147-154 |
NLP |
2011-03-10 14:20 |
Tokyo |
Tokyo University of Science |
A Manifold Learning Approach for Analyzing Chaos in A Dripping Faucet System Hiromichi Suetani (Kagoshima Univ./JST/RIKEN), Hiroki Kuroiwa, Hiroki Hata (Kagoshima Univ.), Shotaro Akaho (AIST) NLP2010-173 |
Dripping water from a faucet is very familiar to us and it provides various nonlinear phenomena including chaos. When i... [more] |
NLP2010-173 pp.57-62 |
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