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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2020-10-22
Online Online IBISML2020-28 I will introduce significant pattern mining techniques that are designed to find statistically significant interactions ... [more] IBISML2020-28
IBISML 2018-11-05
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis
Yuka Yoneda (Osaka Univ.), Mahito Sugiyama (NII), Takashi Washio (Osaka Univ.) IBISML2018-53
We propose to learn a hierarchical structure of clusters from continuous data via two-step procedure:
We first binariz... [more]
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-05
Toyama   [Short Paper] Selective Inference for Time-series Change-Point Analysis
Yuta Umezu, Kazuya Nakagawa, Shigenori Inoue (NIT), Koji Tsuda (Tokyo Univ.), Mahito Sugiyama, Takuya Maekawa (Osaka Univ.), Toru Tamaki (Hiroshima Univ.), Ken Yoda (Nagoya Univ.), Ichiro Takeuchi (NIT) PRMU2016-63 IBISML2016-18
In this paper, we propose a statistical method for time series data after detecting a change point. Because the change p... [more] PRMU2016-63 IBISML2016-18
IBISML 2015-11-26
Ibaraki Epochal Tsukuba [Poster Presentation] Halting in Random Walk Kernels
Mahito Sugiyama (Osaka Univ.), Karsten Borgwardt (ETHZ) IBISML2015-63
Random walk kernels measure graph similarity by counting matching walks in two graphs. In their most popular form of geo... [more] IBISML2015-63
IBISML 2011-03-28
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
IBISML 2011-03-28
Osaka Nakanoshima Center, Osaka Univ. Subregion Retrieval of Natural Images by Using Tree Structures, and Application to Fractal Compression and Image Mining
Takashi Fukumura, Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ) IBISML2010-112
In this paper, we propose a new method for speeding up retrieval of subregions in natural images by using tree structure... [more] IBISML2010-112
IBISML 2011-03-29
Osaka Nakanoshima Center, Osaka Univ. Sequence Image Retrieval by Combining a Meta-Learing Algorithm and Query Learning
Ryoichi Hata, Madori Ikeda, Mahito Sugiyama, Akihiro Yamamoto (Kyoto Univ.) IBISML2010-120
In this paper we propose a method combining query learning and a meta-algorithm of machine learning as a new approach fo... [more] IBISML2010-120
IBISML 2010-06-15
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
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