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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2020-03-17 16:50 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation for Bayes Error Estimation Capability of Large Geometric Margin Minimum Classification Error Training Ikuhiro Nishiyama (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.)  PRMU2019-99 |
Previous studies suggested that the Large Geometric Margin-Minimum Classification Error (LGM-MCE) training method had th... [more] | PRMU2019-99 pp.231-236 |
| PRMU, IPSJ-CVIM | 2020-03-17 17:05 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100 |
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) tr... [more] | PRMU2019-100 pp.237-242 |
| WPT (2nd) |
2019-10-31 - 2019-11-02 |
Overseas | Xidian University | Minimum Size Design of Capacitive Coupler for Wireless Power Transfer to Achieve Specified Power Efficiency Hikaru Kitaoka, Shinji Abe, Satoshi Tsukamoto, Takashi Ohira (Toyohashi Univ. Tech.) |
We are interested in minimum size design of capacitive coupler for wireless power transfer. There is a trade-off between... [more] | |
| WPT, EE (Joint) |
2019-10-09 14:10 |
Shiga | Ryukoku Extension Center, Ryukoku University | Maximum Power Efficiency of Matching Circuits Formulated from TX-RX Symmetric Shape Electric and Magnetic Coupler Size for Wireless Power Transfer Hikaru Kitaoka, Shinji Abe, Satoshi Tsukamoto, Takashi Ohira (Toyohashi Univ. Tech.) WPT2019-33 |
We are interested in minimum size design of capacitive coupler for wireless power transfer. When we reduce the size of t... [more] | WPT2019-33 pp.37-42 |
| COMP | 2019-03-18 13:45 |
Tokyo | The University of Tokyo | [Invited Talk]
Non-Black-Box Worst-Case to Average-Case Reductions within NP Shuichi Hirahara (Univ. Tokyo) COMP2018-49 |
There are significant obstacles to establishing an equivalence between the worst-case and average-case hardness of NP: S... [more] | COMP2018-49 p.43 |
| NS, ASN, RCC, RCS, SR (Joint) |
2017-07-19 09:15 |
Hokkaido | Hokkaido Univ. | A Mathematical Model of Access Control to Allocate Downlink Bandwidth in High-Density Wireless LAN Yuto Katayama, Daisuke Umehara, Koichiro Wakasugi (Kyoto Inst. of Tech.) ASN2017-13 |
In the IEEE 802.11 standards used for wireless LANs, an access point (AP) and stations (STAs) have opportunities to tran... [more] | ASN2017-13 pp.9-14 |
| PRMU, CNR | 2017-02-18 11:20 |
Hokkaido | Small-sized Kernel Classifier By Support Vector Retraining Based on Minimum Classification Error Criterion Ryoma Tani (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Osaki (Doshisha Univ.) PRMU2016-159 CNR2016-26 |
Different from the Multi-class Support Vector Machine (MSVM) that fixes Support Vectors (SVs) to training samples, the K... [more] | PRMU2016-159 CNR2016-26 pp.41-46 |
|
| VLD, DC, CPSY, RECONF, CPM, ICD, IE (Joint) [detail] |
2016-11-28 14:15 |
Osaka | Ritsumeikan University, Osaka Ibaraki Campus | Design for 3-Demensional Sound Processor using a High-Level Synthesis Saya Ohira, Naoki Tsuchiya, Tetsuya Matsumura (Nihon Univ.) RECONF2016-40 |
High quality sound systems are penetrated into our lifestyle in various fields. In recent years, Minimized audio spot ge... [more] | RECONF2016-40 pp.1-6 |
| PRMU | 2015-12-21 09:30 |
Nagano | Evaluation of Automatic Prototype-Model Size Optimization in Large Geometric Margin Minimum Classification Error Training Masahiro Ogino (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Osaki (Doshisha Univ.), Xugang Lu, Hisashi Kawai (NICT) PRMU2015-100 |
To develop a method for nding an appropriate class model size, which leads to accurate classi cation over unseen patter... [more] | PRMU2015-100 pp.1-6 |
|
| NLP, CCS | 2015-06-12 10:15 |
Tokyo | Waseda Univerisity | Dynamics analysis of Modular Neural Network using Toy Model Yoshihiro Hayakawa, Masayuki Matumori (NIT,Sendai) NLP2015-57 CCS2015-19 |
Combinatorial optimization problems cause exponential increases of calculation time in terms of a problem size. In case ... [more] | NLP2015-57 CCS2015-19 pp.109-113 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2015-01-23 10:15 |
Nara | Relation between Data Grouping and Robustness to Unseen Data in Large Geometric Margin Minimum Classification Error Training Hiroyuki Shiraishi (Doshisha Univ), Hideyuki Watanabe (NICT), Shigeru Katagiri (Doshisha Univ), Xugang Lu, Chiori Hori (NICT), Miho Ohsaki (Doshisha Univ) PRMU2014-101 MVE2014-63 |
To develop a pattern classifier that is robust to unseen pattern samples, classifier parameters have been conventionally... [more] | PRMU2014-101 MVE2014-63 pp.177-182 |
|
| NC, MBE (Joint) |
2014-03-18 10:20 |
Tokyo | Tamagawa University | Evaluation of the criterion of the minimum expected value of the energy cost based on the positional variability during reaching movement Yoshiaki Taniai, Tomohide Naniwa (Univ. of Fukui), Jun Nishii (Yamaguchi Univ.) NC2013-132 |
The hand trajectories of upper-arm reaching movements are slightly curved, the speed profiles take bell-shaped curve, th... [more] | NC2013-132 pp.251-256 |
| COMP | 2013-12-21 15:20 |
Okinawa | Okinawa Industry Support Center | On the minimum consistent DFA problem for prefix samples Kaori Ueno (Tohokui Univ.), Shinichi Shimozono (Kyushu Inst. of Tech.), Kazuyuki Narisawa, Ayumi Shinohara (Tohokui Univ.) COMP2013-57 |
We study the computational complexity of nding the minimum deterministic nite automaton (DFA) that is consistent with ... [more] | COMP2013-57 pp.115-122 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Exaluation of Revised IP-OLDF with S-SVM, LDF and logistic regression by K-fold cross-validation Shuichi Shinmura (Seikei Univ.) IBISML2013-44 |
In this paper, Revised IP-OLDF based on MNM criterion is proposed using a mixed integer programming. The new discriminan... [more] | IBISML2013-44 pp.61-68 |
| IBISML | 2013-03-04 16:10 |
Aichi | Nagoya Institute of Technology | An Application of Minimum Description Length Criterion to the Model Selection of Discrete Mixture Models Yasuaki Akazawa, Masato Inoue (Waseda Univ.) IBISML2012-97 |
Minimum description length (MDL) is an information criterion which estimates the optimal complexity of a stochastic mode... [more] | IBISML2012-97 pp.31-38 |
| US, EA (Joint) |
2013-01-25 10:20 |
Kyoto | Kambaikan, Doshisha Univ. | Study on a speech enhancement microphone array utilizing difference in distances of talker and noise source Akira Higasa, Kensaku Fujii (Univ of Hyogo), Mitsuji Muneyasu (Kansai Univ.), Masakazu Morimoto (Univ of Hyogo) EA2012-132 |
In this study, we propose a speech enhancement microphone array system to emphasize the sound and reduce noise utilizing... [more] | EA2012-132 pp.73-78 |
| NS, RCS (Joint) |
2012-12-14 13:10 |
Ehime | Ehime Univ. | A Study on Spectrum Sharing with IEEE802.11 Users by Minimum Contention Window Size Selection Using Channel Occupancy Rate Information Masaki Morita, Kenta Umebayashi, Yasuo Suzuki (TUAT) RCS2012-233 |
In this paper, we investigated a spectrum sharing technique based on Channel Occupancy Rate (COR) information of the Pri... [more] | RCS2012-233 pp.297-302 |
| EA, EMM | 2012-11-16 11:20 |
Oita | OITA Univ. | A study on dereverberation method applicable for non-minimum phase acoustic space Hiroshi Kishida, Kensaku Fujii (Hyogo Univ), Mitsuji Muneyasu (Kansai Univ), Masakazu Morimoto (Hyogo Univ) EA2012-85 EMM2012-67 |
In this paper, we propose a method capable of reverberation rejection applying equation error method with microphone arr... [more] | EA2012-85 EMM2012-67 pp.23-27 |
| IBISML | 2011-06-20 16:15 |
Tokyo | Takeda Hall | Efficient Computation of Re-Normalized Maximum Likelihood Coding for Gaussian Mixtures with Its Applications to Optimal Clustering So Hirai, Kenji Yamanishi (Univ. of Tokyo) IBISML2011-5 |
We are concerned with the issue of efficient computation of re-normalized maximum likelihood (RNML) code-lengths for Gau... [more] | IBISML2011-5 pp.29-35 |
| PRMU, FM | 2010-12-10 15:20 |
Yamaguchi | Comparison between Minimum Classification Error Training and Support Vector Machine in Prototype-based Classifier Design Mamoru Adachi (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2010-146 |
In this paper, we experimentally compared the size of trained classifier class models (prototypes) between Support Vecto... [more] | PRMU2010-146 pp.107-112 |
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