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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE, NC (Joint) |
2012-11-17 13:55 |
Miyagi | Tohoku University | Inter-layer correlation in a feed-forward network with intra-layer common noise Ryo Karakida, Yasuhiko Igarashi (Univ. of Tokyo), Kenji Nagata (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN)  NC2012-69 |
Intra-layer common noise leads to the synchronous firing of neurons in a feed-forward network. The synchronous firing ... [more] |
NC2012-69 pp.45-50 |
| NC | 2012-01-27 10:20 |
Hokkaido | Future University Hakodate | On the Relationship between Learning Coefficient for Bayesian Estimation and Average of Acceptance Rate for Metropolis Algorithm Kenji Nagata (The Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-111 |
[more] | NC2011-111 pp.83-88 |
| NC | 2012-01-27 11:25 |
Hokkaido | Future University Hakodate | Decoding performance of quantum fluctuation for Sourlas code Yosuke Otsubo (Univ. of Tokyo), Jun-ichi Inoue (Hokkaido Univ.), Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-113 |
[more] | NC2011-113 pp.95-100 |
| MBE, NC (Joint) |
2011-11-24 16:35 |
Miyagi | ECEI Departments, Graduate School of Engineering, Tohoku University | A deterministic algorithm for hyperparameter estimation in nonlinear Markov random field model Yoshinori Ohno, Kenji Nagata (Univ. Tokyo), Hayaru Shouno (U.E.C.), Masato Okada (Univ. Tokyo/RIKEN) NC2011-74 |
Image restoration widely used in natural science is often formulated by Markov random field (MRF) model. In MRF model, t... [more] | NC2011-74 pp.17-22 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Image segmentation and restoration by variational Bayesian method and MCMC Kenta Kayano (Kansai Univ.), Kenji Nagata, Masato Okada (Univ. of Tokyo), Seiji Miyoshi (Kansai Univ.) IBISML2011-68 |
In this paper, we derive a deterministic algorithm that restores and segments an image by using variational Bayesian met... [more] | IBISML2011-68 pp.175-180 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | On the behavior of average of acceptance rate for Metropolis algorithm Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) IBISML2011-77 |
[more] | IBISML2011-77 pp.237-242 |
| NC | 2011-07-26 10:20 |
Hyogo | Graduate School of Engineering, Kobe University | Estimation of fluid distributions from seismic velocity structure using Markov random field modelling Tatsu Kuwatani, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN), Mitsuhiro Toriumi (JAMSTEC) NC2011-34 |
[more] | NC2011-34 pp.75-80 |
| IBISML | 2011-03-29 09:40 |
Osaka | Nakanoshima Center, Osaka Univ. | Application of Bayesian Estimation for XPS Data Analysis Rei Muraoka, Kenji Nagata, Takehiko Sasaki (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) IBISML2010-122 |
(Advance abstract in Japanese is available) [more] | IBISML2010-122 pp.125-130 |
| IBISML | 2010-06-15 14:30 |
Tokyo | Takeda Hall, Univ. Tokyo | Inference of Multiple Absorbtion Bands for Reflectance Spectra Using Exchange Monte Carlo Method Kenji Nagata, Seiji Sugita (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/RIKEN) IBISML2010-18 |
(Advance abstract in Japanese is available) [more] | IBISML2010-18 pp.119-124 |
| NC, MBE (Joint) |
2010-03-11 17:15 |
Tokyo | Tamagawa University | Analysis of Autocorrelation type Associative Memory Model with Hierarchical Patterns by Using PCA Teijiro Shiotsuka (Waseda Univ.), Kenji Nagata, Koji Hukushima (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN), Masato Inoue (Waseda Univ.) NC2009-158 |
The statistical mechanical approach is useful and has been applied to various problems in the field of information proce... [more] | NC2009-158 pp.413-418 |
| NC, MBE (Joint) |
2010-03-11 17:40 |
Tokyo | Tamagawa University | Analysis of Associative Memory Based on Clustering Using Mixture of Bernoulli Distribution Kenji Nagata, Koji Hukushima (Univ. of Tokyo), Teijirou Shiotsuka, Masato Inoue (Waseda Univ.), Masato Okada (Univ. of Tokyo/RIKEN) NC2009-159 |
[more] | NC2009-159 pp.419-424 |
| NC, MBE (Joint) |
2009-03-11 16:10 |
Tokyo | Tamagawa Univ. | Numerical Calculation of Stochastic Complexties through Optimization of Gaussian Mixture centered on MCMC Samples Takayuki Higo, Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-112 |
Stochastic complexity is a criterion for model selection and determination of hyper parameters in Bayesian learning．If s... [more] | NC2008-112 pp.51-56 |
| NC, MBE (Joint) |
2008-03-12 17:30 |
Tokyo | Tamagawa Univ | Experimental Analysis for Equations of States in Singular Statistical Estimation Sumio Watanabe, Kenji Nagata (Tokyo Inst. of Tech.) NC2007-129 |
By using equations of states in statistical estimation, we can predict the Bayes and Gibbs generalization errors from ... [more] |
NC2007-129 pp.103-108 |
| NC | 2007-03-14 14:00 |
Tokyo | Tamagawa University | Analysis of Exchange Ratio for Heat Bath Type in Exchange Monte Carlo Method Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) |
[more] | NC2006-144 pp.155-160 |
| NC | 2006-10-11 15:00 |
Nara | NAIST | On Relation between Exchange Ratio and Kullback Divergence in Exchange Monte Carlo Method Kenji Nagata, Sumio Watanabe (T.I.Tech.) |
The exchange Monte Carlo method was proposed as an improved algorithm of Markov Chain Monte Carlo method, and its effect... [more] | NC2006-52 pp.43-48 |
| NC | 2006-03-15 11:25 |
Tokyo | Tamagawa University | Exchange Monte Carlo Method for Bayesian Learning of Singular Learning Machines Kenji Nagata, Sumio Watanabe (Tokyo Inst. of Tech.) |
A lot of singular learning machines such as neural networks, normal mixtures, Bayesian networks and hidden Markov models... [more] | NC2005-118 pp.73-78 |
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