KYUSHU UNIVERSITY

Past News

FY2017

2018.3

(3/19)The following paper has been published in Computational Optimization and Applications

• Norikazu Takahashi (Okayama Univ.), Jiro Katayama (OB of our Lab), Masato Seki (Okayama Univ.)，Jun’ichi Takeuchi (Kyushu Univ.), "A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization"

(3/5)Professor Jun'ichi Takeuchi had a presentation at Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)

• Junichi Takeuchi, Hiroshi Nagaoka (University of Electro-Communications), "Exponential Family of Markov Kernels and Asymptotic Exponential Family of Markov Sources"

2017.11

(11/9)Professor Jun'ichi Takeuchi had a presentation at IEEE Information Theory Workshop (ITW2017)

• Junichi Takeuchi, Hiroshi Nagaoka (University of Electro-Communications), "Information Geometry of The Family of Markov Kernels Defined by A Context Tree"

2017.9

(9/8)Munenori Eto (M1 student) had a presentation at Technical Committee Conference on Information Theory, IEICE

• Munenori Eto, Masanori Kawakita, Jun'ichi Takeuchi， "Cardinality of Typical Set and the Smallest High Probability Set for Discrete Memoryless Sources and Markov Sources"

2017.7

(7/21)The following paper has been accepted for IEEE Information Theory Workshop (ITW2017)

• Jun'ichi Takeuchi, Hiroshi Nagaoka（UEC）, "Information Geometry of The Family of Markov Kernels Defined by A Context Tree"

(7/14)Professor Jun'ichi Takeuchi had presentations at Technical Committee Conference on Information Theory, IEICE

• Jun'ichi Takeuchi, Hiroshi Nagaoka（UEC）， "On Information Geometry of Tree Models "
• Jun'ichi Takeuchi, Hiroshi Nagaoka（UEC）， "Asymptotic Exponential Family of Markov Sources is Equivalent to Exponential Family of Markov Kernelss "

2017.6

(6/28)Associate Professor Yutaka Jitsumatsu had a presentation at IEEE International Symposium on Information Theory (ISIT2017)

• Yutaka Jitsumatsu，"Computation of the Random Coding Secrecy Exponent for a Constant Composition Ensemble"

(6/28)Dongshin Yang (D3 student) had a presentation at International Radar Symposium 2017 (IRS 2017)

• Dongshin Yang, Yutaka Jitsumatsu，"Compressive Sensing of Up-sampled Model and Atomic Norm for Super-Resolution Rader"

(6/22)The following paper has been pubulished on Machine Learning

• Masanori Kawakita, Jun'ichi Takeuchi, "A note on model selection for small sample regression"

2017.4

(4/2)The following paper has been accepted for IEEE International Symposium on Information Theory (ISIT2017)

• Yutaka Jitsumatsu，"Computation of the Random Coding Secrecy Exponent for a Constant Composition Ensemble"

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