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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 # |
MBE, NC (Joint) |
2012-03-15 13:20 |
Tokyo |
Tamagawa University |
Time Series Alignment with Gaussian Process Priors Shinji Akimoto, Nobuo Suematsu, Akira Hayashi, Kazunori Iwata (Hiroshima City Univ.) NC2011-163 |
We propose a nonparametric Bayesian approach to time series alignment. Given a set of time series data, we can sometimes... [more] |
NC2011-163 pp.245-250 |
NC, MBE (Joint) |
2010-03-09 13:45 |
Tokyo |
Tamagawa University |
A Comparison of HHMMs and HHCRFs in State Sequence Estimation Hirotaka Tamada, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata (Hiroshima City Univ.) NC2009-105 |
HMMs (hidden Markov models) are well-known generative models for time series data. Recently, however, CRFs (conditional ... [more] |
NC2009-105 pp.101-106 |
NC, MBE (Joint) |
2010-03-09 14:10 |
Tokyo |
Tamagawa University |
Introducing a New Function to Save the Trouble of Parameter Tuning of Softmax Action-Selection Kenji Ono, Kazunori Iwata, Akira Hayashi, Nobuo Suematsu (Hiroshima City Univ.) NC2009-106 |
Markov decision processes are one of the most popular frameworks for reinforcement learning. The entropy of probability ... [more] |
NC2009-106 pp.107-112 |
NC, MBE (Joint) |
2010-03-10 13:20 |
Tokyo |
Tamagawa University |
ARMA Model Based Time Series Clustering Using Dirichlet Process Mixture Models Yuki Washizu, Nobuo Suematsu, Akira Hayashi, Kazunori Iwata (Hiroshima City Univ) NC2009-135 |
Dirichlet Process Mixture (DPM) models allow nonparametric mixture modeling in which the number of mixture components is... [more] |
NC2009-135 pp.279-284 |
NC, MBE (Joint) |
2008-03-14 11:10 |
Tokyo |
Tamagawa Univ |
Hierarchical Cluster Analysis of Phoneme Data Using the RDSP Method Yuta Onoshiro, Kazunori Iwata, Nobuo Suematsu, Akira Hayashi (Hiroshima City Univ.) NC2007-177 |
The RDSP method is an effective method in hierarchical cluster analysis
when the population of samples is characterize... [more] |
NC2007-177 pp.385-390 |
PRMU, IE |
2008-03-10 09:00 |
Ishikawa |
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An Improvement of Graph Cut Segmentation Using Quadtree Representation Yukiya Okuda, Nobuo Suematsu, Akira Hayashi (Hiroshima City Univ.) IE2007-264 PRMU2007-248 |
In this paper, we propose a graph cut segmentation technique using quadtree representation. The graph cut approach to im... [more] |
IE2007-264 PRMU2007-248 pp.17-22 |
PRMU |
2006-09-09 11:45 |
Fukuoka |
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Human Gait Identification using a Particle Filter Mitsuharu Emoto, Akira Hayashi, Nobuo Suematsu, Kazunori Iwata (Hiroshima City Univ.) |
[more] |
PRMU2006-82 pp.41-48 |
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