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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Learning Restricted Boltzmann Machine via the Adaptive Thouless-Anderson-Palmer Mean-Field Approximation Chako Takahashi (Tohoku Univ.), Muneki Yasuda (Yamagata Univ.), Kazuyuki Tanaka (Tohoku Univ.)  IBISML2018-58 |
(Advance abstract in Japanese is available) [more] | IBISML2018-58 pp.105-110 |
| MBE, NC (Joint) |
2017-11-25 13:00 |
Miyagi | Tohoku University | [Invited Talk]
Fundamental Mathematics of Statistical Machine Learning Theory by Probabilistic Graphical Model Kazuyuki Tanaka (Tohoku Univ.) MBE2017-52 NC2017-33 |
[more] | MBE2017-52 NC2017-33 p.29(MBE), p.35(NC) |
| PRMU | 2016-10-21 10:00 |
Miyazaki | A Study of Bases Definition in Sparse Representation based Classification for Face Recognition Hideaki Watanabe (Tohoku Univ.), Yuji Waizumi (Nihon Univ.), Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) PRMU2016-98 |
Recognizing human faces from camera images by computer is challenging problem for application to many things such as cri... [more] | PRMU2016-98 pp.43-48 |
|
| MBE, NC (Joint) |
2015-12-19 13:50 |
Aichi | Nagoya Institute of Technology | The reconstruction of the missing pixels in the digital image using unmissing pixels and belief propagation Ryuichi Mashiba, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) NC2015-48 |
A digital image inpainting is an image processing method that reconstructs missing or degraded pixels in the image by us... [more] | NC2015-48 pp.13-18 |
| MBE, NC (Joint) |
2015-12-19 15:15 |
Aichi | Nagoya Institute of Technology | A fast algorithm for the probabilistic image denoising using belief propagation and gradation conversion Kento Yoshida, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ) NC2015-51 |
[more] | NC2015-51 pp.31-36 |
| MBE, NC (Joint) |
2015-12-19 15:40 |
Aichi | Nagoya Institute of Technology | Parameter Estimation in Probabilistic Image Segmentation using Loopy Belief Propagation and Hyperprior Tomohiro Furuichi, Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) NC2015-52 |
[more] | NC2015-52 pp.37-42 |
| PRMU, BioX | 2015-03-19 11:00 |
Kanagawa | A Study on Efficient Pedestrian Detection by Combining CNN and SVM. Takuma Saito, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) BioX2014-46 PRMU2014-166 |
Detecting pedestrian in real time is challenging problem for application to road safety. For high-accuracy and high-spee... [more] | BioX2014-46 PRMU2014-166 pp.41-46 |
|
| PRMU | 2013-12-12 10:10 |
Mie | Character recognition using statistical evaluation of surrounding information Naoki Uchida, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) PRMU2013-70 |
Scene text recognition methods often consist of text extraction step and recognition step. Recognition accuracy of this ... [more] | PRMU2013-70 pp.11-16 |
|
| NS, CS, IN (Joint) |
2013-09-13 11:35 |
Miyagi | Tohoku Univ. Research Institute of Electrical Communication 2gokan | A Web Application Identification Based on Network Traffic Analysis Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) CS2013-40 |
[more] | CS2013-40 pp.61-66 |
| 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 |
| IN, NS, CS (Joint) |
2012-09-21 15:55 |
Miyagi | Tohoku Univ. Research Institute of Electrical Communication 2gokan | A Study on Web Application Identification based on Communication Characteristics Shoki Matsuo, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) CS2012-60 |
Recently, websites which offer various Web Applications, such as Web Mail, Video Sharing, and so on, has been increasing... [more] | CS2012-60 pp.61-66 |
| MBE, NC (Joint) |
2012-03-16 13:20 |
Tokyo | Tamagawa University | Item Response Theory with Correlations among Items Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2011-187 |
Item response theory (IRT) is a recent test theory which has been developed in mainly psychology and social science. A ... [more] |
NC2011-187 pp.387-391 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Gaussian FoE model with correlations among color components Ryuta Murayama, Muneki Yasuda, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) IBISML2011-58 |
Color images consist of some color components such as RGB, YCbCr. They have been often treated independently in usual im... [more] | IBISML2011-58 pp.105-111 |
| 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 |
| MBE, NC (Joint) |
2010-11-18 13:55 |
Miyagi | Tohoku University | Network Application Identification using Observation Probability of Payload Length Yuji Waizumi, Tsuyoshi Sato, Kazuyuki Tanaka (Tohoku Univ.) NC2010-53 |
[more] | NC2010-53 pp.7-12 |
| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Advanced Susceptibility Propagation Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) IBISML2010-67 |
Inferences in Markov random fields are ones of the most important problems in information science. Susceptibility prop... [more] |
IBISML2010-67 pp.59-63 |
| IA | 2010-08-06 14:25 |
Tokyo | IIJ Kanda Jinbocho Bldg. | Network Application Identification using Sequential Transition Patterns of Payload Length Tsuyoshi Sato, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) IA2010-23 |
Recently, increasing of information leakages caused by illegal use of network applications have been reported．To prevent... [more] | IA2010-23 pp.41-46 |
| NC, MBE (Joint) |
2009-03-12 14:15 |
Tokyo | Tamagawa Univ. | Learning algorithm in Boltzmann machines using the belief propagation algorithm Junya Tannai, Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) NC2008-144 |
Boltzmann machines are stochastic neural networks defined on undirected graphs and are expected to be learning machines ... [more] | NC2008-144 pp.243-248 |
| 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 |
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