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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2011-07-13 10:30 |
Hokkaido | Hokkaido University | Robust Non-rigid surface registration with Confidence Self-Evaluation based on L1-Norm Regularization Yoshihide Sawada, Takamichi Matsuno, Hidekata Hontani (NIT)  MI2011-42 |
In this article, we propose a non-rigid surface registration method, which can not only estimate the con fidence of the ... [more] | MI2011-42 pp.49-54 |
| EA | 2011-06-23 14:00 |
Hokkaido | Health Sci. Univ. of Hokkaido | Improvement of Noise Reduction Performance of ANC Systems with Online Secondary Path Modeling Technique using Two Secondary Path Models Akihisa Oishi, Muhammad Tahir Akhtar, Wataru Mitsuhashi (UEC) EA2011-31 |
A new technique is proposed for a controlled injection of the noise to model the secondary acoustic path in the feedforw... [more] | EA2011-31 pp.7-12 |
| EA | 2010-08-09 15:15 |
Miyagi | Tohoku Univ. | Scattered Speech Signal Detection by Principal Component Analysis for Spatial Power Spectrum Michiaki Katoh, Yuya Sugimoto, Shoji Makino, Takeshi Yamada, Nobuhiko Kitawaki (Univ. of Tsukuba) EA2010-47 |
It is important for efficiently reviewing meeting speech archives to preliminarily and automatically detect "when, how a... [more] | EA2010-47 pp.25-30 |
| SR | 2010-05-21 10:00 |
Kanagawa | Keio Univ. (Tokyo) | A Study on Detection Method of Low SNR Nodes in Cooperative Spectrum Sensing Hung Vu Le, Mai Ohta, Kei Inage, Takeo Fujii (Univ. of Electro-Comm.), Kazushi Muraoka, Masayuki Ariyoshi (NEC) SR2010-8 |
In this paper, we have studied the methods of detecting low Signal to Noise Ratio (SNR) nodes by outlier detection in co... [more] | SR2010-8 pp.43-48 |
| NC, MBE (Joint) |
2008-03-13 16:00 |
Tokyo | Tamagawa Univ | A better estimation of ODP statistic in multiple simultaneous hypotheses testing Hiroto Nomura, Shigeyuki Oba (NAIST), Shin Ishii (Kyoto Univ.) NC2007-174 |
Detection of differentially expressed (DE) genes between different conditions of sample cells is a basic and fundamental... [more] | NC2007-174 pp.367-372 |
| PRMU, IE | 2008-03-11 11:00 |
Ishikawa | () IE2007-313 PRMU2007-297 |
We present a new method for detecting incorrect feature point tracking. For 3-D reconstruction and motion segmentation,... [more] | IE2007-313 PRMU2007-297 pp.327-334 |
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| DE | 2007-07-03 15:50 |
Miyagi | Akiu hot springs (Sendai) | Detecting Outliers in High Dimensional Datasets with Examples Yuan Li, Hiroyuki Kitagawa (Univ. of Tsukuba) DE2007-92 |
Many real applications of outlier detection can be utilized in various fields. Most of such applications process high di... [more] | DE2007-92 pp.423-428 |
| DE | 2007-07-03 15:25 |
Miyagi | Akiu hot springs (Sendai) | Outlier Detection for Transaction Databases using Association Rules with High Confidences Kazuyo Narita, Hiroyuki Kitagawa (Tsukuba Univ.) DE2007-88 |
Outlier Detection, a data mining technique to detect rare events, deviant objects, and exceptions from data, has been dr... [more] | DE2007-88 pp.399-404 |
| PRMU, NLC | 2005-09-21 09:00 |
Tokyo | Fast Semi-Supervised Learning on Nearest Neighbor Graphs Weiwei Du, Kiichi Urahama (Kyushu Univ.) |
A simple label propagation technique is presented for semi-supervised learning of pattarn classifiers. In our technique,... [more] | NLC2005-24 PRMU2005-51 pp.1-6 |
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| PRMU, NLC | 2005-09-21 10:00 |
Tokyo | Recognition Method of Minute Defect Based on Comparison to Statistical Pattern and Outlier Detection on Feature Space Kaoru Sakai, Shunji Maeda (Hitachi) |
Reductions of the noise caused by the pattern shape difference and the sampling errors are essential to recognize a minu... [more] | NLC2005-26 PRMU2005-53 pp.11-16 |
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