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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2012-09-04 09:45 |
Tokyo | Univ. of Tokyo | Segmentation of intraretinal layers from macular optical coherence tomography images based on ensemble learning and graph cut Kazuki Inagaki, Akinobu Shimizu (TUAT), Yoshiaki Yasuno (Univ. of Tsukuba), Yasushi Ikuno (Osaka Univ.), Hidefumi Kobatake (INCT)  MI2012-39 |
(To be available after the conference date) [more] | MI2012-39 pp.1-6 |
| NC | 2012-07-30 11:35 |
Shiga | Ritsumeikan Univ. College of Information Science and Engineering | Noise reduction for images by ensemble learning Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kinki Univ.) NC2012-16 |
This report discusses a restoration method for JPEG images based on ensemble learning algorithm for multiple multi-laye... [more] |
NC2012-16 pp.13-18 |
| WIT | 2012-03-09 10:30 |
Ibaraki | Fingerspelling Recognition based on AdaBoost with Hand-shape CG images Kentaro Taji (Univ. of Tsukuba), Kohei Setoyama (NTUT), Yasuhiro Ohkawa (Univ. of Tsukuba), Nobuko Kato, Akio Okazaki (NTUT), Kazuhiro Fukui (Univ. of Tsukuba) WIT2011-71 |
(To be available after the conference date) [more] | WIT2011-71 pp.7-12 |
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| CAS, NLP | 2011-10-20 10:00 |
Shizuoka | Shizuoka Univ. | Evaluating the Risk of Nonlinear Prediction with the Bagging Algorithm Kazuya Nakata, Tomoya Suzuki (Ibaraki Univ.) CAS2011-33 NLP2011-60 |
Some real phenomena are derived from unstationary systems, and therefore we have to select recent historical data which ... [more] | CAS2011-33 NLP2011-60 pp.1-6 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 16:00 |
Fukuoka | Fukuoka Univ. | Facial Expression Recognition by Ensemble Learning Using Movements of Facial Feature Points Hiroki Nomiya, Teruhisa Hochin (KIT) PRMU2010-68 IBISML2010-40 |
We propose a facial expression recognition method using several facial feature points such as end points and centroids o... [more] | PRMU2010-68 IBISML2010-40 pp.85-92 |
| AI | 2010-06-25 14:15 |
Tokyo | Refining Noisy Training Examples Based on Ensemble Learning for Intelligent Domain-Specific WEB Search Hiroki Hirabayashi, Koji Iwanuma, Yoshitaka Yamamoto, Hidetomo Nabeshima (Univ. of Yamanashi) AI2010-5 |
The Keyword Spices, proposed Oyama et al., is a sort of a query-expansion technology, which adds pre-computed additional... [more] | AI2010-5 pp.25-30 |
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| NS, IN (Joint) |
2010-03-05 11:00 |
Miyazaki | Miyazaki Phoenix Seagaia Resort (Miyazaki) | Unsupervised Ensemble Anomaly Detection Method using Time-Periodical Packet Sampling Shuichi Nawata, Masato Uchida (Kyushu Inst. of Tech.), Yu Gu (NEC Labs America), Masato Tsuru, Yuji Oie (Kyushu Inst. of Tech.) IN2009-198 |
We propose an anomaly detection method that trains a baseline model describing the normal behavior of network traffic wi... [more] | IN2009-198 pp.325-330 |
| MI | 2010-01-28 11:40 |
Okinawa | Naha-Bunka-Tenbusu | Vessel segmentation of eye fundus image based on ensemble learning and a classifier cascade Yuki Akatsuka, Elco Oost, Akinobu Shimizu, Hidefumi Kobatake (Tokyo Univ. of Agr and Tech.), Daisuke Furukawa, Akihiro Katayama (CANON) MI2009-102 |
(To be available after the conference date) [more] | MI2009-102 pp.143-148 |
| PRMU | 2009-09-01 09:00 |
Miyagi | Tohoku Univ. | Implementation and Experimental Evaluation of Ensemble Minimum Classification Error Training Shin'ichi Taniguchi (Doshisha University), Hideyuki Watanabe (NICT), Shigeru Katagiri, Kohta Yamada (Doshisha University), Atsushi Nakamura, Erik McDermott, Shinji Watanabe (NTT), Naho Nishijima, Miho Ohsaki (Doshisha Univ.) PRMU2009-67 |
Recently, we developed a noble Ensemble-based Minimum Classification Error training method (EMCE) by combining the advan... [more] | PRMU2009-67 pp.103-108 |
| NC, MBE (Joint) |
2008-03-13 14:10 |
Tokyo | Tamagawa Univ | Policy gradient method for a policy function with probabilistic parameters Yutaka Nakamura (Osaka Univ.) NC2007-170 |
Stochastic policy gradient methods are a type of reinforcement learning method, where the parameter of the policy parame... [more] | NC2007-170 pp.343-348 |
| NC | 2006-06-16 10:10 |
Okinawa | OIST | A Method of Data Classification of Bagging Using HRGA/P and Its Applications Hong Zhang, Masumi Ishikawa (K.I.T.) |
To obtain a classification model with high generalization ability, we propose to use a hybrid real-coded genetic algorit... [more] | NC2006-25 pp.19-24 |
| PRMU, TL | 2006-02-24 16:30 |
Ibaraki | A Weighted Voting Method to accelerate Writer Adaptation for On-line Handwriting Recognition Akira Nakamura (SANYO Electric) |
An approach to accelerate writer adaptation for on-line handwriting recognition is described. It is known that adapting ... [more] | TL2005-89 PRMU2005-224 pp.129-134 |
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| NLP | 2005-11-18 13:25 |
Fukuoka | Kyushu Institute of Technology | Ensemble Self-Generating Neural Networks for Chaotic Time Series Prediction Masaki Nakahara, Hirotaka Inoue (KNCT) |
In this paper,we present a performanse characteristic of self-generating neural networks(SGNNs) applied to time series ... [more] |
NLP2005-63 pp.7-12 |
| PRMU, NLC | 2005-02-24 10:00 |
Tokyo | Space Partitioning Method for Classifier Selection Hiromu Hayashi, Takayuki Nakamura, Toshikazu Wada (Wakayama Univ.) |
Ensemble learing is a method for constructing a strong crassifier from multiple weak classifiers. In this method, the ... [more] |
NLC2004-98 PRMU2004-180 pp.7-12 |
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| MI | 2005-01-21 15:00 |
Okinawa | Univ. of the Ryukus | Improvement in system of detecting abnormal shadows in mammograms using ensemble learning with feature selection Mitsutaka Nemoto, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Hideya Takeo (FujiFilm), Shigeru Nawano (NCCHE) |
The classifier plays an important role in the system of detecting abnormal shadows in mammograms. Since such pattern rec... [more] | MI2004-72 pp.121-126 |
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