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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, RCS, SIP | 2023-01-24 10:50 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Lower Bound on Maximum Redundancy of Predictive Source Coding for Context Tree Source Shota Saito (Gunma Univ.)  IT2022-37 SIP2022-88 RCS2022-216 |
In [Krichevskiy, IEEE Trans. Inf. Theory, vol.44, no.1, pp.296--303, 1998], a lower bound of the maximum redundancy of a... [more] | IT2022-37 SIP2022-88 RCS2022-216 pp.48-50 |
| IT, EMM | 2022-05-17 13:25 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
A Note on Time-Varying Two-Dimensional Autoregressive Models and the Bayes Codes Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2022-2 EMM2022-2 |
This paper proposes a two-dimensional autoregressive model with time-varying parameters as a stochastic model for explai... [more] | IT2022-2 EMM2022-2 pp.7-12 |
| IT, EMM | 2022-05-18 12:40 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
On Bayesian Approach for Classification of Context Tree Model Shota Saito (Gunma Univ.) IT2022-11 EMM2022-11 |
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] | IT2022-11 EMM2022-11 pp.56-60 |
| WBS, IT, ISEC | 2021-03-04 10:55 |
Online | Online | An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34 |
In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that ve... [more] | IT2020-115 ISEC2020-45 WBS2020-34 pp.19-24 |
| SIP, IT, RCS | 2021-01-22 15:15 |
Online | Online | An Image Generative Model with Various Auto-regressive Coefficients Depending on Neighboring Pixels and the Bayes Code for It Masahiro Takano, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-108 SIP2020-86 RCS2020-199 |
In this papar, we propose an expanded model of an autoregressive stochastic generative model for images. This model cont... [more] | IT2020-108 SIP2020-86 RCS2020-199 pp.253-258 |
| IT | 2020-12-02 10:30 |
Online | Online | Error Probability of Classification Based on the Analysis of the Bayes Code
-- Extension and Example -- Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-32 |
Suppose that we have two training sequences generated by parametrized distributions $P_{theta^*}$ and $P_{xi^*}$, where ... [more] | IT2020-32 pp.44-49 |
| IT, EMM | 2020-05-28 15:25 |
Online | Online | An Autoregressive Image Generative Model and the Bayes Code for It Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-4 EMM2020-4 |
In this paper, we propose an autoregressive stochastic generative model for images. This model should be one of the mos... [more] |
IT2020-4 EMM2020-4 pp.19-24 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-05 10:30 |
Hokkaido | On Evaluation of Stochastic Complexity based on Bayes Code and Its Applications to Model Selection Yoshinari Takeishi, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ./ISIT) PRMU2011-59 IBISML2011-18 |
We evaluate stochastic complexity of Gaussian mixture by Bayes code length, and apply it to the model selection problem.... [more] | PRMU2011-59 IBISML2011-18 pp.9-14 |
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| IT | 2010-07-22 09:50 |
Tokyo | Kogakuin University | An Efficient Bayes Coding Algorithm for Context Tree Sources with Unknown Alphabet Hiroki Iwama, Kenichi Teramoto, Takashi Ishida, Masayuki Goto (Waseda Univ.) IT2010-11 |
In general universal coding, it is supposed that every symbol in alphabet appears. However, some symbols may not apper i... [more] | IT2010-11 pp.1-6 |
| IT | 2005-07-22 15:20 |
Osaka | Osaka Prefecture Univ. | An Algorithm of Bayes Coding for FSMX Sources to Reduce Required Memory Size Akira Nakano, Naoto Kobayashi, Toshiyasu Matsushima (Waseda Univ.) |
Bayes code is one of universal source codings, such that a class of the probabilistic model of source is known but the p... [more] | IT2005-50 pp.47-52 |
| IT | 2004-07-29 11:20 |
Chiba | Tokyo Univ. (Kashiwa) | Redundancy of Bayes Coding for Nonstationary Sources with Piecewise Constant Parameters Tota Suko, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) |
In this paper we treat universal source coding when the parameters of the probabilistic model of source are known. Baye... [more] |
IT2004-22 pp.23-28 |
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