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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 2015-07-13
16:00
Tokyo Tokyo Institute of Technology [Invited Talk] Reformulation of Information Theory by New Information Measures
Tomohiko Uyematsu (Tokyo Tech) IT2015-27
Han and Verd'u introduced a new information measure called as
information spectrum, and developed the most general info... [more]
IT2015-27
pp.59-66
QIT
(2nd)
2014-11-17
15:00
Miyagi Tohoku Univ. Strong Converse Exponent for Classical-Quantum Channel Coding
Milan Mosonyi (UAB, BME), Tomohiro Ogawa (UEC)
We determine the exact strong converse exponent of classical-quantum
channel coding, for every rate above the Holevo ca... [more]

IT 2014-09-19
13:00
Chiba   Revisiting the Rate-Distortion Theory Using Smooth Max Renyi Divergence
Tomohiko Uyematsu, Tetsunao Matsuta (Tokyo Inst. of Tech.) IT2014-46
This paper clarifies the rate-distortion function for general sources
in terms of the smooth max Renyi divergence. To t... [more]
IT2014-46
pp.31-36
AI 2012-11-26
13:00
Fukuoka   Automatic Detection of Plagiarized Source Code Based on Smith-Waterman Algorithm Focusing on Feature Terms
Kenta Hibi, Gendo Kumoi, Kenta Mikawa, Masayuki Goto (Waseda Univ.) AI2012-15
The source code plagiarism is one of serious problems on computer programming classes in educational organizations. In t... [more] AI2012-15
pp.1-6
IBISML 2011-03-28
14:40
Osaka Nakanoshima Center, Osaka Univ. An Online Algorithm for Classification Using Coding Divergence
Tadashi Yoshioka, Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.) IBISML2010-117
In this paper, we construct an online algorithm for classification of real-valued data adopting coding divergence, which... [more] IBISML2010-117
pp.93-100
ISEC, IT, WBS 2011-03-04
09:50
Osaka Osaka University A Generalized MDL Criterion and its Application to Learning Bayesian Network Structure -- When Both Discrete and Continuous Data are Present --
Joe Suzuki (Osaka Univ.) IT2010-106 ISEC2010-110 WBS2010-85
We propose the MDL principle without assuming the source to be discrete.
As an application, we consider estimation of B... [more]
IT2010-106 ISEC2010-110 WBS2010-85
pp.249-254
IBISML 2010-06-15
17:00
Tokyo Takeda Hall, Univ. Tokyo The Coding Divergence for Measuring the Complexity of Separating Two Sets
Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.) IBISML2010-26
In this paper, we integrate two essential processes, discretization of real-valued data and learning of models explainin... [more] IBISML2010-26
pp.181-187
IT 2004-07-29
14:45
Chiba Tokyo Univ. (Kashiwa) A Study of Decoding Algorithms on Tailbiting Convolutional Codes
Youhei Okano, Daiki Koizumi, Toshiyasu Matsushima (Waseda Univ.)
On the error-correction by MAP decoding, if graphical model of coding-decoding system has loops,
Belief-Propagation alg... [more]
IT2004-26
pp.47-52
 Results 1 - 9 of 9  /   
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