Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IT, EMM |
2020-05-29 11:45 |
Online |
Online |
On MDL Estimation for Location Parameters of Contaminated Gaussian Distributions Kohei Miyamoto, Jun'ichi Takeuchi (Kyushu Univ.) IT2020-10 EMM2020-10 |
The MDL estimator is defined by the minimizer of total code length of a two part code.
The smaller the redundancy of t... [more] |
IT2020-10 EMM2020-10 pp.55-60 |
IBISML |
2020-03-11 14:10 |
Kyoto |
Kyoto University (Cancelled but technical report was issued) |
Accuracy of Brain Tumor Detection and Classification Based on Under Sampled k-Space Signals Tania Sultana, Sho Kurosaki, Yutaka Jitsumatsu, Junichi Takeuchi (Kyushu Univ.) IBISML2019-46 |
The prime concern of Magnetic Resonance Imaging (MRI) is to optimize
examination time by assuring a good quality of the... [more] |
IBISML2019-46 pp.91-94 |
IT, SIP, RCS |
2020-01-23 14:20 |
Hiroshima |
Hiroshima City Youth Center |
Analysis of damping in AMP by unrolling Takeshi Mori (Kyushu Univ), Kazushi Mimura (Hiroshima City Univ), Jun'Ichi Takeuchi (Kyushu Univ) IT2019-51 SIP2019-64 RCS2019-281 |
Damping for iterative algorithms such as approximate message passing (AMP) is a technique to stabilize behavior of the a... [more] |
IT2019-51 SIP2019-64 RCS2019-281 pp.93-98 |
ICSS |
2019-11-13 13:55 |
Miyazaki |
MRT Terrace(Miyazaki) |
A Fast Algorithm for Constructing Phylogenetic Trees and Its Evaluation Tianxiang He (Kyushu Univ.), Chansu Han, Ryoichi Isawa, Takeshi Takahashi (NICT), Shuji Kijima, Jun'ichi Takeuchi (Kyushu Univ.), Koji Nakao (NICT) ICSS2019-61 |
[more] |
ICSS2019-61 pp.7-12 |
EMM, IT |
2019-05-24 13:55 |
Hokkaido |
Asahikawa International Conference Hall |
Improving Sparse Superposition Codes with Deep Learning Masazumi Iida, Yuya Oshikawa (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Junichi Takeuchi (Kyushu Univ.) IT2019-13 EMM2019-13 |
[more] |
IT2019-13 EMM2019-13 pp.67-72 |
IBISML |
2019-03-06 13:00 |
Tokyo |
RIKEN AIP |
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 |
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 |
RCS, SIP, IT |
2019-01-31 13:45 |
Osaka |
Osaka University |
Trainable Bayes Optimal AMP Decoders for Sparse Superposition codes Yuya Oshikawa (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Junichi Takeuchi (Kyushu Univ.) IT2018-44 SIP2018-74 RCS2018-251 |
[more] |
IT2018-44 SIP2018-74 RCS2018-251 pp.55-60 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[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 |
|
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 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 10:00 |
Fukuoka |
|
A Study on MDL Learning of Mixture Families Kohei Miyamoto, Jun'ichi Takeuchi (Kyushu Univ.) PRMU2018-51 IBISML2018-28 |
MDL estimators based on two stage codes are studied.
The Barron and Cover's theory shows that redundancy of
a two stag... [more] |
PRMU2018-51 IBISML2018-28 pp.105-112 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 14:15 |
Okinawa |
Okinawa Institute of Science and Technology |
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 |
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 |
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 |
IBISML |
2018-03-05 14:15 |
Fukuoka |
Nishijin Plaza, Kyushu University |
Exponential Family of Markov Kernels and Asymptotic Exponential Family of Markov Sources Jun'ichi Takeuchi (Kyushu Univ.), Hiroshi Nagaoka (UEC) IBISML2017-93 |
For parametric models of Markov sources, we prove that the notion of asymptotic exponential family is equivalent to the ... [more] |
IBISML2017-93 pp.21-25 |
IT |
2017-11-28 15:50 |
Niigata |
Hotel Shiratama-no-Yu Senkei |
[Invited Talk]
Situation and Prospects of Sparse Superposition Codes Jun'ichi Takeuchi (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.) IT2017-53 |
[more] |
IT2017-53 pp.13-18 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-15 13:00 |
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 |
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 |
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 |
IT |
2017-07-14 15:10 |
Chiba |
Chiba University |
On Information Geometry of Tree Models Jun'ichi Takeuchi (Kyushu Univ.), Hiroshi Nagaoka (UEC) IT2017-35 |
We discuss information geometrical properties of the familes of Markov sources defined based on context trees. [more] |
IT2017-35 pp.109-113 |