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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IPSJ-SLDM, CPSY, RECONF, VLD [detail] | 2014-01-29 11:15 |
Kanagawa | Hiyoshi Campus, Keio University | Implementation and Evaluation of Multi-stream Bandwidth Compressor Tomohiro Ueno, Ryo Ito, Kentaro Sano, Satoru Yamamoto (Tohoku Univ.)  VLD2013-124 CPSY2013-95 RECONF2013-78 |
Bandwidth enhancement with lossless data compression is one of the key solutions to improve performance of custom stream... [more] | VLD2013-124 CPSY2013-95 RECONF2013-78 pp.131-136 |
| SIP, RCS | 2013-02-01 13:00 |
Hiroshima | Viewport-Kure-Hotel (Kure) | Multikernel Adaptive Filtering with Double Regularization Masahiro Yukawa, Ryu-ichiro Ishii (Niigata Univ.) SIP2012-105 RCS2012-262 |
We propose an efficient multikernel adaptive filtering algorithm with double regularizers. One is a block L1 norm for ke... [more] | SIP2012-105 RCS2012-262 pp.143-146 |
| CAS, CS, SIP | 2012-03-09 16:05 |
Niigata | The University of Niigata | A Note on Multi-Kernel Adaptive Learning Based on RKHS Projection Ryu-ichiro Ishii, Masahiro Yukawa (Niigata Univ.) CAS2011-163 SIP2011-183 CS2011-155 |
A multi-kernel adaptive learning based on RKHS projection (MKAL-RKHS) is investigated. It is first shown that the existi... [more] | CAS2011-163 SIP2011-183 CS2011-155 pp.315-320 |
| EA, SIP, SP | 2011-05-12 14:15 |
Osaka | Ritsumeikan Univ. | Multi-Kernel NLMS Algorithm with Coherence Criterion and Its Application to Online Prediction of Time Series Data Masahiro Yukawa (Niigata Univ.) EA2011-14 SIP2011-14 SP2011-14 |
In this paper, we propose a nonlinear adaptive filtering algorithm using multiple kernels. The proposed algorithm is a g... [more] | EA2011-14 SIP2011-14 SP2011-14 pp.79-82 |
| IBISML | 2011-03-29 16:30 |
Osaka | Nakanoshima Center, Osaka Univ. | Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization Taiji Suzuki, Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-126 |
We investigate the learning rate of multiple kernel leaning (MKL) with elastic-net regularization, which consists of a... [more] |
IBISML2010-126 pp.153-160 |
| SP | 2011-01-28 10:15 |
Kyoto | NICT | Feature Selection for Single-Channel Sound Source Localization Using the Acoustic Transfer Function Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2010-111 |
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work, w... [more] | SP2010-111 pp.49-54 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 09:30 |
Fukuoka | Fukuoka Univ. | Multiple Kernel Learning for Generic Object Recognition Using SIFT Gaussian Mixture Models Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda, Sadaoki Furui (Tokyo Tech) PRMU2010-58 IBISML2010-30 |
We propose a statistical framework for generic object recognition using SIFT Gaussian mixture models (GMMs) and multiple... [more] | PRMU2010-58 IBISML2010-30 pp.7-12 |
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