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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IEE-ITS, IPSJ-ITS [detail] | 2014-09-19 11:25 |
Tottori | Tottori Univ. (Tottori Campus) | Dynamic data transmission control for efficient vehicle position management Hiroshi Miyake, Nobuharu Kami (NEC)  ITS2014-14 |
In order to know vehicles' positions in real time, it is necessary to transmit location information from them frequently... [more] | ITS2014-14 pp.21-26 |
| 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 |
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| IT | 2014-07-17 13:00 |
Hyogo | Kobe University | $alpha$-divergence derived as the generalized rate function in Tsallis statistics Hiroki Suyari (Chiba Univ.), Antonio Maria Scarfone (ISC-CNR) IT2014-16 |
The generalized binomial distribution in Tsallis statistics (power-law system) is explicitly formulated from the precise... [more] | IT2014-16 pp.25-30 |
| DE | 2014-06-21 16:35 |
Tokyo | Ricoh IT Solutions | Determining the number of topics for LDA method and evaluating extracted topics
-- With an application to Twitter streaming data -- Iwao Fujino, Yuko Hoshino (Tokai Univ.) DE2014-16 |
Topic model is an emerging approach to summarize data, especially text data, in terms of a small set of latent variables... [more] | DE2014-16 pp.67-72 |
| PRMU | 2013-12-12 15:50 |
Mie | Enzyme Active Site Prediction Using Bregman Divergence Regularized Machine Raissa Relator, Tsuyoshi Kato (Gunma Univ.), Nozomi Nagano (AIST) PRMU2013-78 |
- [more] | PRMU2013-78 pp.61-66 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 11:00 |
Tottori | Entropy and non-Additivity Masaru Tanaka (Fukuoka Univ.) PRMU2013-39 IBISML2013-19 |
Here we give an entropy through a contraction of a renormalized $tau$-log-likelihood with $tau = 1 - s$ and a negative $... [more] | PRMU2013-39 IBISML2013-19 pp.39-46 |
|
| NC, MBE (Joint) |
2013-07-20 11:50 |
Tokushima | The University of Tokushima | A method of intensity-modulated radiation therapy planning using nonlinear dynamical system Yoshihiro Tanaka, Ken'ichi Fujimoto, Tetsuya Yoshinaga (Univ. of Tokushima) MBE2013-35 |
The intensity-modulated radiation therapy (IMRT) plans include an optimization strategy for minimizing an objective func... [more] | MBE2013-35 pp.47-52 |
| MI | 2013-07-19 10:40 |
Miyagi | [Special Talk]
Geometry of Statistical Models from the Viewpoint of Differential Geometry Hiroshi Matsuzoe (NIT) MI2013-32 |
In geometric theory of statistical inferences, geometry of parameter spaces of probability distributions is called infor... [more] | MI2013-32 p.67 |
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| NLP | 2013-04-25 10:50 |
Aichi | Nagoya campus, Chukyo University | Binary tomography using a nonlinear switched system Yusaku Yamaguchi, Ken'ichi Fujimoto, Tetsuya Yoshinaga (Tokushima Univ.) NLP2013-3 |
We have shown that the stability of an equilibrium in a nonlinear switched dynamical system can be theoretically proved ... [more] | NLP2013-3 pp.13-18 |
| 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 |
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| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-02 10:00 |
Tokyo | Information theoretic clustering using competitive learning
-- Comparison of criterion functions and algorithms for document clustering -- Toshio Uchiyama (NTT) PRMU2012-33 IBISML2012-16 |
Information-theoretic clustering (ITC) finds clusters based on the similarity of the distributions of features. An ITC a... [more] | PRMU2012-33 IBISML2012-16 pp.23-30 |
|
| IBISML | 2012-06-19 11:00 |
Kyoto | Campus plaza Kyoto | Online Prediction under Submodular Constraints Daiki Suehiro, Kohei Hatano, Shuji Kijima, Eiji Takimoto (Kyushu Univ.), Kiyohito Nagano (Tokyo Univ.) IBISML2012-3 |
[more] | IBISML2012-3 pp.15-22 |
| IBISML | 2012-06-20 10:30 |
Kyoto | Campus plaza Kyoto | Density Difference Estimation Masashi Sugiyama (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Taiji Suzuki (Univ. of Tokyo), Marthinus Christoffel du Plessis, Song Liu (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-8 |
We address the problem of estimating the difference between two probability densities. A naive approach is a two-ste... [more] |
IBISML2012-8 pp.49-56 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Nonparametric Estimation of Mixture Model and Minimum Divergence Methods Kazuho Watanabe (NAIST), Shiro Ikeda (ISM) IBISML2011-78 |
We discuss a nonparametric estimation method of the mixing distribution in mixture models. We propose an objective fun... [more] |
IBISML2011-78 pp.243-249 |
| NLP | 2011-11-11 09:35 |
Okinawa | Miyako Island Marine Terminal | An Error Probability Analysis of the Text Classification Using the CTW Algorithm Manabu Kobayashi (SIT), Masayuki Goto, Toshiyasu Matsushima (Waseda Univ.), Shigeichi Hirasawa (Cyber Univ.) NLP2011-111 |
The text classification problem has been investigated by various techniques, such as a vector space model, a support vec... [more] | NLP2011-111 pp.109-114 |
| NC | 2011-07-25 13:45 |
Hyogo | Graduate School of Engineering, Kobe University | General Framework for Local Variational Approximation of Bayesian Learning Using Bregman Divergence Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2011-25 |
The local variational method is a technique to approximate an intractable posterior distribution in Bayesian learning. T... [more] | NC2011-25 pp.25-30 |
| 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 13:25 |
Osaka | Osaka University | An anomaly detection method using gamma-divergence and its application to system call sequence Shintaro Murakami, Masanori Kawakita, Jun'ichi Takeuchi (ISIT/Kyushu Univ.) IT2010-98 ISEC2010-102 WBS2010-77 |
Nowadays, damage by malwares is increasing. In this paper, we discuss anomaly detection by machine learning and its appl... [more] | IT2010-98 ISEC2010-102 WBS2010-77 pp.191-197 |
| 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 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2011-02-21 15:35 |
Hokkaido | Hokkaido University | Improvement of Flow Estimation using Multiple Meteorological Data Dezhi Li, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2010-44 IE2010-119 |
This paper proposes a method, which improves the accuracy of flow estimation by using multiple meteorological data. Spec... [more] | ITS2010-44 IE2010-119 pp.119-124 |
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