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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2022-03-09 11:00 |
Online | Online | [Invited Talk]
--- Yoshinobu Kawahara (Kyushu Univ.)  IBISML2021-42 |
[more] | IBISML2021-42 pp.35-36 |
| IBISML | 2020-10-21 16:15 |
Online | Online | IBISML2020-25 |
Analysis and prediction of dynamic processes using data are fundamental in a variety of scientific and industrial fields... [more] | IBISML2020-25 pp.43-44 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.) IBISML2018-67 |
The development of a metric for structural data is a long-term problem in pattern recognition and machine learning. In t... [more] | IBISML2018-67 pp.175-182 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN) IBISML2018-68 |
The submodular function maximization is an attractive optimization model that appears in many real applications. Altho... [more] |
IBISML2018-68 pp.183-190 |
| PRMU | 2015-12-21 14:10 |
Nagano | [Special Talk]
Pattern Recognition with Submodular Functions Yoshinobu Kawahara (Osaka Univ.) |
[more] | ||
| IBISML | 2014-03-07 13:30 |
Nara | Nara Women's University | [Invited Talk]
A Brief Introduction to Machine Learning with Submodular Functions and Recent Trends Yoshinobu Kawahara (Osaka Univ.) IBISML2013-78 |
Submodularity is known to be an analogous concept for a set function of convexity in a continuous function. Recently, it... [more] | IBISML2013-78 pp.87-88 |
| IBISML | 2014-03-07 16:20 |
Nara | Nara Women's University | Binary Principal Points Based on Subgradient Method and Its Application Haruka Yamashita (Keio Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2013-82 |
Analysis with Principal Points is a useful statistical tool for summarizing large data. Principal Points is defined as s... [more] | IBISML2013-82 pp.109-115 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Weighted Likelihood Policy Search Tsuyoshi Ueno (JST), Kohei Hayashi (UT), Takashi Washio, Yoshinobu Kawahara (OU) IBISML2012-57 |
[more] | IBISML2012-57 pp.165-170 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Prismatic algorithm for discrete D.C. programming problem Yoshinobu Kawahara, Takashi Washio (Osaka Univ.) IBISML2011-56 |
In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), {\... [more] | IBISML2011-56 pp.93-98 |
| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | A Method for Estimating Binary Data Generating Process Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki (Osaka Univ.), Akihiro Yamamoto (Kyoto Univ.), Yoshinobu Kawahara (Osaka Univ.) IBISML2011-65 |
In our previous study, we proposed a method to identify a data generation process governing its given binary data set. H... [more] | IBISML2011-65 pp.155-162 |
| IBISML | 2011-03-28 16:50 |
Osaka | Nakanoshima Center, Osaka Univ. | Enumerating Feature-Sets with Submodularity Yoshinobu Kawahara (Osaka Univ.), Koji Tsuda (AIST), Takashi Washio (Osaka Univ.), Akiko Takeda (Keio Univ.), Shin-ichi Minato (Hokkaido Univ.) IBISML2010-113 |
Selecting relevant features is a fundamental task in machine learning. Although many approaches have been investigated s... [more] | IBISML2010-113 pp.63-68 |
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