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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM, MVE [detail] | 2015-01-23 09:50 |
Nara | Analysis of Minimum Classification Error Training using Bit-String-Based Genetic Algorithms Hiroto Togoe (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri (Doshisha Univ.), Xugang Lu, Chiori Hori (NICT), Miho Ohsaki (Doshisha Univ.)  PRMU2014-100 MVE2014-62 |
Minimum Classification Error (MCE) training using gradient-descent-based loss minimization does not guarantee a global m... [more] | PRMU2014-100 MVE2014-62 pp.171-176 |
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| 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 |
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| PRMU | 2014-03-14 15:30 |
Tokyo | Experimental study on effect of pre-training in deep learning through visualization of unit outputs Tsubasa Ochiai (Doshisha Univ./NICT), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-210 |
To clarify the capability of recent powerful classifier concept, Deep Neural Networks (DNN), we experimentally investig... [more] |
PRMU2013-210 pp.253-258 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 09:30 |
Osaka | Minimum Classification Error Training with Automatic Determination of Loss Smoothness Common to All Classes Kensuke Ota (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-91 MVE2013-32 |
The smoothness of the smooth classification error count loss used in the Minimum Classification Error (MCE) training has... [more] | PRMU2013-91 MVE2013-32 pp.1-6 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:00 |
Osaka | Minimum Classification Error Training with Automatic Control of Loss Smoothness Hideaki Tanaka (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-92 MVE2013-33 |
The Minimum Classification Error (MCE) training has been successfully applied to various types of classifiers. However, ... [more] | PRMU2013-92 MVE2013-33 pp.7-12 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 10:30 |
Osaka | Multi-Class Support Vector Machine based on Minimum Classification Error Criterion Hisashi Uehara (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-93 MVE2013-34 |
Gradient-descent-based optimization methods used in Minimum Classification Error (MCE) training are not necessarily easi... [more] | PRMU2013-93 MVE2013-34 pp.13-18 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2014-01-23 11:00 |
Osaka | Large Geometric Margin Minimum Classification Error Training with Automatic Optimization Of The Number of Prototypes Yuji Takayama (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-94 MVE2013-35 |
Large Geometric Margin Minimum Classification Error (LGM-MCE) training, which adopts geometric-margin-based misclassific... [more] | PRMU2013-94 MVE2013-35 pp.19-24 |
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| CNR | 2013-10-17 11:00 |
Osaka | Grand Front Osaka | rospeex: A Cloud-based Spoken Language Communication Toolkit for ROS Komei Sugiura, Chiori Hori, Koji Zettsu (NICT) CNR2013-10 |
Stand-alone speech recognition/synthesis engines deployed on robots have drawbacks in accuracy and quality compared wit... [more] |
CNR2013-10 pp.7-10 |
| SP | 2011-07-22 14:15 |
Hokkaido | Jozankei Grand Hotel | Network-based Spoken Dialog System Development Platform: WFSTDM builder Chiori Hori, Hisashi Kawai, Hideki Kashioka (NICT) SP2011-46 |
[more] | SP2011-46 pp.29-34 |
| SP | 2009-01-29 15:10 |
Nara | NAIST | WFST-based Dialog Management Using Statistical Dialog Model Chiori Hori, Kiyonori Ohtake, Teruhisa Misu, Hideki Kashioka, Satoshi Nakamura (NICT-ATR) SP2008-130 |
Abstract We have proposed an expandable and portable dialog scenario description and platform to manage dialog sys-tems... [more] | SP2008-130 pp.25-30 |
| NLC | 2009-01-27 11:30 |
Okayama | Constructing Spoken Dialog Corpus for Development Statistical Dialog Management Hideki Kashioka, Teruhisa Misu, Kiyonori Ohtake, Chiori Hori, Satoshi Nakamura (NICT/ATR) NLC2008-78 |
We are developing two types of dialog system for Kyoto sightseeing task. Our development systems are proto-type system t... [more] | NLC2008-78 pp.43-48 |
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| SP | 2007-05-31 13:00 |
Kyoto | ATR | Consolidation-based Speech Translation applied to Chinese-English Broadcast News domain Chiori Hori (NICT-ATR), Bing Zhao, Stephan Vogel, Alex Waibel (Carnegie Mellon Univ) SP2007-5 |
The performance of speech translation systems combining automatic speech recognition (ASR) and machine translation (MT) ... [more] | SP2007-5 pp.25-30 |
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