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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS, NLP | 2022-06-10 10:55 |
Osaka | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Computation and learning based on dual stochasticity of the brain Jun-nosuke Teramae (Kyoto Univ.)  NLP2022-16 CCS2022-16 |
Neurons and synapses in the brain are highly stochastic devices. Neurons responsible for signal propagation in the brain... [more] | NLP2022-16 CCS2022-16 pp.78-83 |
| NLP, MSS (Joint) |
2019-03-14 16:10 |
Fukui | Bunkyo Camp., Univ. of Fukui | A study on the probabilistic information processing using a machine learning result Shun Kataoka (OUC) MSS2018-89 |
We consider a framework of the probabilistic information processing utilizing the machine learning result. In probabilis... [more] | MSS2018-89 pp.45-50 |
| MBE, NC (Joint) |
2012-11-17 13:30 |
Miyagi | Tohoku University | Composite likelihood estimation for bipartite Boltzmann machines Takashi Asari, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) NC2012-68 |
The recent development of information technology has enabled us to obtain and to storage huge information data. Because... [more] |
NC2012-68 pp.39-44 |
| MBE, NC (Joint) |
2012-11-17 14:55 |
Miyagi | Tohoku University | Design of probabilistic image inpainting filters using Gaussian graphial models Tomotaka Kitagawa, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2012-71 |
A probabilistic image inpainting lter is an image processing lter that reconstructs lost or deteriorated pixels of ima... [more] | NC2012-71 pp.57-62 |
| MBE, NC (Joint) |
2010-11-18 13:30 |
Miyagi | Tohoku University | Loopy Belief Propagation for Sparse Markov Random Fields Kazuyuki Tanaka (Tohoku Univ.) NC2010-52 |
In the present paper, new loopy belief propagations for sparse Markov random fields are proposed. Our schenmes are base... [more] |
NC2010-52 pp.1-5 |
| NC, MBE (Joint) |
2008-03-12 10:00 |
Tokyo | Tamagawa Univ | Gaussian Graphical Model on Scale-Free Network Takafumi Usui, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2007-112 |
We consider probabilistic inferences formulated by using Gaussian graphical models on scale free networks. We can deriv... [more] |
NC2007-112 pp.1-5 |
| NC, MBE (Joint) |
2008-03-12 13:30 |
Tokyo | Tamagawa Univ | Image Processing by using the EM algorithm and the belief propagation Kei Inoue, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2007-118 |
Markov random fields in image processing includehyperparameters to estimate from given data. We introduce a method to es... [more] | NC2007-118 pp.37-42 |
| ED, SDM | 2008-01-31 12:05 |
Hokkaido | Single-electron circuit for stochastic data processing using nano-MOSFETs Katsuhiko Nishiguchi, Akira Fujiwara (NTT BRL) ED2007-251 SDM2007-262 |
A MOSFET-based circuit utilizing single electrons is demonstrated at room temperature. Individual electrons randomly pas... [more] | ED2007-251 SDM2007-262 pp.75-79 |
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