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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2019-03-06 13:00 |
Tokyo | RIKEN AIP (Tokyo) | Magnetic Resonance Angiography Image Restoration by Super Resolution based on Deep Learning Shizen Kitazaki, Masanori Kawakita, Yutaka Jitumatu (Kyushu Univ.), Shigehide Kuhara (Kyorin Univ.), Akio Hiwatashi, Jun'ichi Takeuchi (Kyushu Univ.)  IBISML2018-114 |
Magnetic Resonance Imaging (MRI) is one of the powerful techniques to acquire in vivo information. However, to obtain a ... [more] | IBISML2018-114 pp.65-72 |
| IBISML | 2019-03-06 13:30 |
Tokyo | RIKEN AIP (Tokyo) | Acceleration of Boosting Discriminators Using Region Partition Learning and Its Application to Face Detectors Takeshi Mori, Junichi Takeuchi, Masanori Kawakita (Kyushu Univ.) IBISML2018-115 |
We propose a method of acceleration of boosting discriminators. Discriminant functions used for boosting are constructe... [more] |
IBISML2018-115 pp.73-80 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) (Hokkaido) | [Poster Presentation]
Recommendation for Market Places using Non-negative Matrix Factorization and MDL Priciple Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Junichi Takeuchi (Kyushu Univ.) IBISML2018-96 |
We apply the rank selection method for non-negative matrix factorization (NMF) based on MDL criterion which was propose... [more] |
IBISML2018-96 pp.389-395 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 10:00 |
Fukuoka | (Fukuoka) | MRI Acceleration by Super Resolution Shizen Kitazaki, Masanori Kawakita, Yutaka Jitsumatsu (Kyushu Univ.), Shigehide Kuhara (Kyorin Univ.), Jun'ichi Takeuchi (Kyushu Univ.) PRMU2018-39 IBISML2018-16 |
[more] | PRMU2018-39 IBISML2018-16 pp.21-29 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 14:15 |
Okinawa | Okinawa Institute of Science and Technology (Okinawa) | Data Analysis for Market Places by Non-negative Matrix Factorization and MDL Criterion Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2018-8 |
The rank selection method for non-negative matrix factorization (NMF) based on MDL criterion which was proposed by [Yama... [more] | IBISML2018-8 pp.53-60 |
| WBS, IT, ISEC | 2018-03-09 09:50 |
Tokyo | Katsusika Campas, Tokyo University of Science (Tokyo) | Bayes Optimal AMP Decoder for Sparse Superposition Codes Yuwa Hatae (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-127 ISEC2017-115 WBS2017-108 |
Sparse superposition codes (SS codes), proposed by Barron and Joseph in 2010, are a class of error-correcting codes f... [more] |
IT2017-127 ISEC2017-115 WBS2017-108 pp.143-148 |
| ICSS, IPSJ-SPT | 2018-03-07 13:00 |
Hokkaido | Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center (Hokkaido) | A Study on Malware Activity Detection Based on Real-time Analysis of Darknet Data Using Graphical Lasso Chansu Han (Kyushu Univ.), Jumpei Shimamura (Clwit Inc.), Takeshi Takahashi, Daisuke Inoue (NICT), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.), Koji Nakao (NICT) ICSS2017-51 |
In this study, we considered a method to detect malignant activity (especially botnet) in cyber space automatically and ... [more] | ICSS2017-51 pp.1-6 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 13:00 |
Tokyo | (Tokyo) | On MDL Learning of Gaussian Mixture Modlels Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) PRMU2017-47 IBISML2017-19 |
The final goal of this work is model sellection for gaussian mixture models(GMM) based on the minimum description length... [more] | PRMU2017-47 IBISML2017-19 pp.59-66 |
| IT | 2017-09-08 14:50 |
Yamaguchi | Centcore Yamaguchi Hotel (Yamaguchi) | On Two Part Coding of Gaussian Mixture Models Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-47 |
The final goal of this work is model sellection for gaussian mixture models(GMM) based on the minimum description leng... [more] |
IT2017-47 pp.49-54 |
| IT | 2017-09-08 15:15 |
Yamaguchi | Centcore Yamaguchi Hotel (Yamaguchi) | Cardinality of Typical Set and the Smallest High Probability Set for Discrete Memoryless Sources and Markov Sources Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-48 |
Cardinality of typical sets and tha smallest high probability sets for discrete memoryless sources and statically Marko... [more] |
IT2017-48 pp.55-60 |
| ISEC, WBS, IT | 2017-03-10 11:20 |
Tokyo | TOKAI University (Tokyo) | MRI Acceleration by Super Resolution Ayaka Nakashima, Masanori Kawakita, Yutaka Jitsumatsu (Kyushu Univ.), Shigehide Kuhara (Kyorin Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IT2016-124 ISEC2016-114 WBS2016-100 |
MR imaging currently takes a long imaging time in some applications such as 3D imaging and faster imaging speed is requi... [more] | IT2016-124 ISEC2016-114 WBS2016-100 pp.161-166 |
| IT, SIP, RCS | 2017-01-20 10:25 |
Osaka | Osaka City Univ. (Osaka) | A Study on Cardinality of Typical Set and High Probability Set Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi (Kyusyu Univ.) IT2016-87 SIP2016-125 RCS2016-277 |
[more] | IT2016-87 SIP2016-125 RCS2016-277 pp.237-242 |
| IT, SIP, RCS | 2017-01-20 10:50 |
Osaka | Osaka City Univ. (Osaka) | Decoding Algorithm of Sparse Superposition Codes (SSC) Yuwa Hatae, Kohei Miyamoto, Masanori Kawakita (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IT2016-88 SIP2016-126 RCS2016-278 |
[more] | IT2016-88 SIP2016-126 RCS2016-278 pp.243-248 |
| IT | 2015-07-13 15:15 |
Tokyo | Tokyo Institute of Technology (Tokyo) | Design and Analysis of MDL Estimators for Supervised Learning Jun'ichi Takeuchi, Masanori Kawakita (Kyushu Univ.) IT2015-26 |
Barron and Coveys theory to evaluate risk bounds for the MDL estimators (1991) is basically for unsupervised learning... [more] |
IT2015-26 pp.53-58 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 17:00 |
Okinawa | Okinawa Institute of Science and Technology (Okinawa) | Risk Bound of Lasso Based on MDL Theory Masanori Kawakita, Yushin Toyokihara, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2015-16 |
We derive a risk bound of lasso in random design linear regression. Past works of MDL principle revealed that penalized... [more] |
IBISML2015-16 pp.101-107 |
| ISEC, IT, WBS | 2015-03-03 11:20 |
Fukuoka | The University of Kitakyushu (Fukuoka) | Bonnet Detection Using Anomaly Detection Based on Sparse Structure Learning Shu Mukai, Yuki Kawamura, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2014-92 ISEC2014-105 WBS2014-84 |
[more] | IT2014-92 ISEC2014-105 WBS2014-84 pp.193-198 |
| ISEC, IT, WBS | 2015-03-03 10:30 |
Fukuoka | The University of Kitakyushu (Fukuoka) | On Upper Bounds on Estimation Error of Least Squares Rgression with L1 Penalty Yushin Toyokihara, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ) IT2014-93 ISEC2014-106 WBS2014-85 |
In 1991， Barron and Cover showed for the MDL estimator that its estimation error is bounded by codelength of the corres... [more] |
IT2014-93 ISEC2014-106 WBS2014-85 pp.199-204 |
| IT | 2014-05-16 15:40 |
Oita | Beppu International Convention Center (Oita) | Performance Evaluation of Sparse Superposition Codes by Numerical Experiments Kohei Miyamoto, Misato Takaki, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2014-10 |
[more] | IT2014-10 pp.49-54 |
| IBISML | 2013-03-05 15:00 |
Aichi | Nagoya Institute of Technology (Aichi) | Evaluation of the limit performance of single frame super-resolution Masanori Kawakita, Kouratarou Yamaguchi, Norikazu Takahashi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2012-106 |
We elucidate the potential limit of single-frame super-resolution by information theory. A single-frame super-resoluti... [more] |
IBISML2012-106 pp.95-100 |
| IT | 2012-09-28 10:15 |
Gunma | Kusatsu Seminar House (Gunma) | Sparse Superposition Codes with Bernoulli Dictionary Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2012-38 |
We study some extension of the sparse superposition codes proposed by Barron and Joseph in 2010. The original sparse sup... [more] | IT2012-38 pp.41-46 |
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