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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Energy Disaggregation for Appliance Loads Based on Semi-Supervised NMF Yu Fujimoto, Naoki Okubo, Yasuhiro Hayashi (Waseda Univ.), Yoshimasa Sugitate, Shiro Ogata (Omron)  IBISML2013-60 |
The authors propose an application of non-negative matrix factorization for the energy disaggregation task. The method i... [more] | IBISML2013-60 pp.185-190 |
| PRMU | 2013-03-15 15:15 |
Tokyo | Masaki Tsukada, Masakazu Iwamura, Koichi Kise (Osaka Prefecture Univ.) PRMU2012-220 |
(To be available after the conference date) [more] | PRMU2012-220 pp.237-242 |
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| IBISML | 2013-03-05 16:30 |
Aichi | Nagoya Institute of Technology | Similarity adaptation for label propagation based on local linear reconstruction Masayuki Karasuyama, Hiroshi Mamitsuka (Kyoto Univ.) IBISML2012-109 |
Label propagation is one of the state-of-the-art methods for semi-supervised learning, which estimates labels by pro... [more] |
IBISML2012-109 pp.115-121 |
| NC, NLP | 2013-01-24 13:10 |
Hokkaido | Hokkaido University Centennial Memory Hall | Text Classification Using Context-Tree Weighting Algorithm for Semi-Supervised Leaning Tomohiro Obata, Manabu Kobayashi, Yoshihiko Sakashita (Shonan Inst. of Tech.) NLP2012-112 NC2012-102 |
The Text Classification problem has been investigated by various techniques, such as a vector space model, a support vec... [more] | NLP2012-112 NC2012-102 pp.49-53 |
| MI | 2013-01-24 17:05 |
Okinawa | Bunka Tenbusu Kan | Automated segmentation of the upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ inter-relations Shunta Hirayama, Toshiyuki Okada, Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-91 |
We have studied the automatic segmentation of multi-organ region from abdominal CT images ever. In previous work, we hav... [more] | MI2012-91 pp.149-154 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Propagating Labels via Sparse Combination of Multiple Graphs Masayuki Karasuyama, Hiroshi Mamitsuka (Kyoto Univ.) IBISML2012-58 |
Label propagation is a widely accepted approach in graph-based semi-supervised learning that predicts labels of nodes ... [more] |
IBISML2012-58 pp.171-178 |
| IBISML | 2012-11-08 15:00 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Local Semi-supervised Gaussian Process Regression based-on Clustering Xinlu Guo (Kobe Univ.), Yoshiaki Yasumura (SIT), Kuniaki Uehara (Kobe Univ.) IBISML2012-86 |
The majority of the existing graph-based semi-supervised learning algorithms have been applied to the classification tas... [more] | IBISML2012-86 pp.373-380 |
| MI | 2012-10-29 10:45 |
Yamaguchi | Yamaguchi Univ. | Classification of Idiopathic Interstitial Pneumonias using Transductive Support Vector Machine Yuri Hayakawa, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MI2012-53 |
In order to reduce the burden of doctor, computer aided diagnosis system, which aims to help doctor for diagnosis, is d... [more] |
MI2012-53 pp.35-40 |
| DE | 2012-08-02 16:00 |
Aichi | Nagoya University | Semi-supervised Sentiment Classification in Resource-Scarce Language: A Comparative Study Yong Ren, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa (Univ. of Tokyo) DE2012-26 |
With the advent of consumer generated media (e.g., Amazon reviews, Twitter, etc.), sentiment classification becomes a he... [more] | DE2012-26 pp.59-64 |
| MI | 2012-07-20 09:20 |
Yamagata | Yamagata Univ. | Classification of Idiopathic Interstitial Pneumonias using Semi-Supervised Learning Masayoshi Wada, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MI2012-29 |
Computer aided diagnosis system, which aim to help doctor for diagnosis, is desired to develop. In the system, classifi... [more] |
MI2012-29 pp.41-46 |
| IBISML | 2012-06-19 10:00 |
Kyoto | Campus plaza Kyoto | A study on an optimization algorithm for semi-supervised SVM using parametric programing Kohei Ogawa, Ichiro Takeuchi (NIT), Masashi Sugiyama (Tokyo Tech) IBISML2012-1 |
The goal of semi-supervised learning is to incorporate unlabeled instances as well as labeled ones for improving classif... [more] | IBISML2012-1 pp.1-8 |
| IBISML | 2012-06-19 16:00 |
Kyoto | Campus plaza Kyoto | Topic Extraction Method by Semi-Supervised Latent Dirichlet Allocation for Real-Time Recommendation Yasuhiro Ikeda, Ryoichi Kawahara, Hiroshi Saito (NTT) IBISML2012-6 |
Probabilistic topic models for unsupervised learning have been attracting attention as technology of analyzing user's i... [more] |
IBISML2012-6 pp.35-40 |
| IBISML | 2012-03-13 16:05 |
Tokyo | The Institute of Statistical Mathematics | Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier Tsubasa Kobayashi, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-106 |
The objective of pool-based incremental active learning is to choose a sample to label from a pool of unlabeled samples ... [more] | IBISML2011-106 pp.131-138 |
| IBISML | 2012-03-13 16:55 |
Tokyo | The Institute of Statistical Mathematics | Squared-loss Mutual Information Regularization Gang Niu, Wittawat Jitkrittum, Hirotaka Hachiya (Tokyo Inst. of Tech.), Bo Dai (Purdue Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-108 |
The information maximization principle is a useful alternative to the low-density separation principle and prefers proba... [more] | IBISML2011-108 pp.147-153 |
| PRMU | 2011-11-25 10:00 |
Nagasaki | Recognition and Automatic Labeling of Distorted Characters
-- Towards Construction of Large Database -- Masaki Tsukada, Masakazu Iwamura, Koichi Kise (Osaka Prefucture Univ.) PRMU2011-115 |
(To be available after the conference date) [more] | PRMU2011-115 pp.93-98 |
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| NLC | 2011-07-07 13:35 |
Tokyo | IBM Japan, Ltd. | An Extraction Method of Causal Knowledge from Newspaper Corpus Hiroki Sakaji, Shigeru Masuyama (TUT) NLC2011-2 |
This paper proposes a method that extracts causal knowledge from news paper articles via clue expressions. Our method d... [more] |
NLC2011-2 pp.7-10 |
| IBISML | 2011-06-21 14:50 |
Tokyo | Takeda Hall | Constructing Dirichlet Forest Priors for Logically Constrained Topic Models Hayato Kobayashi, Hiromi Wakaki, Tomohiro Yamasaki, Masaru Suzuki (Toshiba) IBISML2011-10 |
This paper describes a simple method to incorporate logical expressions of term-constraints into Dirichlet forest priors... [more] | IBISML2011-10 pp.67-74 |
| KBSE | 2011-01-25 10:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Early Topic Detection from Topic Frequency Transition with Semi-supervised Learning Hiroyoshi Takahashi (Kobe Univ.), Yoshiaki Yasumura (Shibaura IT), Kuniaki Uehara (Kobe Univ.) KBSE2010-40 |
This report presents a method for early potential topic detection from blog articles. Potential topic is defined as a ph... [more] | KBSE2010-40 pp.31-36 |
| PRMU, FM | 2010-12-09 09:30 |
Yamaguchi | Automatic Audio Tagging and Retrieval Using Semi-Surpervised Canonical Density Estimation Jun Takagi (Tokyo Tech.), Yasunori Ohishi, Akisato Kimura (NTT), Masashi Sugiyama, Makoto Yamada (Tokyo Tech.), Hirokazu Kameoka (NTT) PRMU2010-126 |
We apply SSCDE (semi-supervised canonical density estimation), asemi-supervised learning method based on topic modeling,... [more] | PRMU2010-126 pp.1-6 |
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| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Privacy-preserving Semisupervised Learning on Labeled Graph Hiromi Arai, Jun Sakuma (Univ. of Tsukuba) IBISML2010-97 |
Existing label prediction methods for network data has been based on the premise that the whole net- work structure and... [more] |
IBISML2010-97 pp.277-282 |
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