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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, EA, SIP | 2020-03-02 15:10 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
A Pattern Recognition Method Using Secure Sparse Representations in L0 Norm Minimization Takayuki Nakachi, Yitu Wang (NTT), Hitoshi Kiya (Tokyo Metro. Univ.)  EA2019-130 SIP2019-132 SP2019-79 |
In this paper, we propose a privacy-preserving pattern recognition method using encrypted sparse representations in L0 n... [more] | EA2019-130 SIP2019-132 SP2019-79 pp.169-174 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 16:25 |
Tokyo | NHK Science & Technology Research Labs. | An evaluation of representation learning using phoneme posteriorgrams and data augmentation in speech emotion recognition Shintaro Okada (Nagoya Univ.), Atsushi Ando (Nagoya Univ./NTT), Tomoki Toda (Nagoya Univ.) SP2019-43 |
This paper presents a new speech emotion recognition method based on representation learning and data augmentation. To ... [more] |
SP2019-43 pp.91-96 |
| WIT, SP | 2019-10-27 09:00 |
Kagoshima | Daiichi Institute of Technology | Extraction of linguistic representation and syllable recognition from EEG signal of speech-imagery Kentaro Fukai, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. of Science), Satoka Hirata, Yurie Iribe (Aichi Prefectural Univ.), Mingchua Fu, Ryo Taguchi (Nagoya Inst. of Technology), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Technology) SP2019-28 WIT2019-27 |
Speech imagery recognition from Electroencephalogram (EEG) is one of the challenging technologies for non-invasive brain... [more] | SP2019-28 WIT2019-27 pp.63-68 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 13:35 |
Nagasaki | Fukue Culture Center | Privacy Preserving Sparse Representation for Face Recognition in Edge and Cloud Networks Yitu Wang, Takayuki Nakachi (NTT) SIS2019-4 |
The interaction between edge and cloud servers plays an important role in fulfilling the extensive computation requireme... [more] | SIS2019-4 pp.17-22 |
| PRMU, BioX | 2019-03-18 16:10 |
Tokyo | [Invited Talk]
Geometrically Consistent Pedestrian Trajectory Extraction for Gait Recognition (BTAS 2018) Yasushi Makihara, Gakuto Ogi, Yasushi Yagi (Osaka Univ.) BioX2018-66 PRMU2018-170 |
In the gait recognition community, silhouette-based gait representations such as gait energy image have been widely empl... [more] | BioX2018-66 PRMU2018-170 p.207 |
|
| NC, MBE (Joint) |
2019-03-04 09:30 |
Tokyo | University of Electro Communications | Transition of informative areas in the human brain during haptic shape recognition of real objects Shota Eto (UEC), Hironori nakatani (UTokyo), Yoichi Miyawaki (UEC) NC2018-48 |
Shape information is vital for object recognition and it can be acquired by vision and haptic sensation. Previous studie... [more] | NC2018-48 pp.25-30 |
| NC, MBE (Joint) |
2018-12-15 10:50 |
Aichi | Nagoya Institute of Technology | Spatial frequency characteristics of convolutional neutral network trained for classifying facial expressions Yusuke Komatsu, Mikio Inagaki, ChanSeok Lim (Osaka Univ), Takashi Shinozaki (NICT), Ichiro Fujita (Osaka Univ) NC2018-29 |
A previous experiment conducted in monkeys (Inagaki and Fujita, 2011) demonstrated that most face-responsive neurons in ... [more] | NC2018-29 pp.5-10 |
| TL | 2018-12-09 15:00 |
Ehime | Ehime University | Duality of Recognition of Time in Japanese and Chinese Viewed from the Chinese Auxiliary Verbs HUI and YAO Tomohiro Ishida, Ting Zhang (TUFS) TL2018-48 |
One of the particular difficulties for Japanese native speakers learning Chinese is use of the auxiliary verbs huì and y... [more] | TL2018-48 pp.23-28 |
| CCS | 2018-11-23 14:55 |
Hyogo | Kobe Univ. | Hypernetwork-based Implicit Posterior Estimation of CNN Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45 |
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] | CCS2018-45 pp.67-72 |
| TL | 2018-03-19 14:30 |
Tokyo | Waseda University | Duality of the Passage of Time Impacting Auxiliary Verb “会”
-- An Error Analysis of "Future Expression" in Japanese CFL (Chinese as a foreign language) Learners -- Tomohiro Ishida, Hiroshi Sano (TUFS) TL2017-67 |
Learner's corpus analysis has revealed that the acquisition of the Chinese auxiliary verb 会(hui) which represents “possi... [more] | TL2017-67 pp.45-50 |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Construction of Facial Expression Space Based on Expression Discrimination Threshold and Its Significance Runa Sumiya (Chuo Univ.), Reiner Lenz (Linkoping Univ.), Jinhui Chao (Chuo Univ.) |
As a quantitative representation of facial expressions, a recent method uses relative contribution rate of basic categor... [more] | |
| PRMU, BioX | 2017-03-20 10:00 |
Aichi | Robust Gait Recognition for Carrying-Status by SVM-based Metric Learning using Joint Intensity Histogram Atsuyuki Suzuki, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2016-37 PRMU2016-200 |
This paper describes a method of joint intensity metric learning to improve the robustness of gait recognition under car... [more] | BioX2016-37 PRMU2016-200 pp.23-28 |
|
| PRMU, CNR | 2017-02-19 09:30 |
Hokkaido | 3D Generic Object Recognition based on Score Level Fusion via Superquadric Representation Ryo Hachiuma, Yuko Ozasa, Hideo Saito (Keio Univ.) PRMU2016-175 CNR2016-42 |
Our goal is to recognize 3d generic objects and estimate object's shape for object grasping simultaneously. In this pap... [more] |
PRMU2016-175 CNR2016-42 pp.131-136 |
|
| PRMU | 2016-10-21 10:00 |
Miyazaki | A Study of Bases Definition in Sparse Representation based Classification for Face Recognition Hideaki Watanabe (Tohoku Univ.), Yuji Waizumi (Nihon Univ.), Shun Kataoka, Kazuyuki Tanaka (Tohoku Univ.) PRMU2016-98 |
Recognizing human faces from camera images by computer is challenging problem for application to many things such as cri... [more] | PRMU2016-98 pp.43-48 |
|
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 11:45 |
Toyama | 3D Object Recognition Based on Superquadric Representation with SVM Yuko Ozasa, Ryo Hachiuma, Hideo Saito (Keio Univ.) PRMU2016-82 IBISML2016-37 |
We present a 3D object recognition method by Support Vector Machine(SVM). A feature set for the recognition is derived... [more] |
PRMU2016-82 IBISML2016-37 pp.215-219 |
|
| SP, IPSJ-SLP (Joint) |
2016-07-28 14:00 |
Yamagata | Takinoyu Hotel | Evaluation of Japanese English DNN Acoustic Models with English Level Yuta Kawachi, Hirokazu Masataki, Taichi Asami, Yushi Aono (NTT) SP2016-20 |
In this paper, we propose an acoustic model that takes into consideration foreign language fluency level by extracting a... [more] | SP2016-20 pp.1-6 |
| ICM, LOIS | 2016-01-21 15:30 |
Fukuoka | Fukuoka Institute of Technology | A Data Structure Conversion Method for Electronic Forms Reflecting Graphical Representation Rule Ikuko Takagi, Kouichi Yamada, Tsutomu Maruyama (former NTT) ICM2015-30 LOIS2015-52 |
In various works of enterprises, form documents are utilized to communicate information between departments or persons i... [more] | ICM2015-30 LOIS2015-52 pp.25-30 |
| PRMU, MI, IE, SIP | 2015-05-15 14:30 |
Mie | Structure of Lower-case Characters, Rotation Invariant Features and Recognition
-- On-line Alphanumeric Character Recognition System and Application -- Shunji Mori (KITE), Tomohisa Matsushita (KITE/TUAT), Takahiro Suzuki ((former)KITE) SIP2015-27 IE2015-27 PRMU2015-27 MI2015-27 |
We propose a curve representation, in which rotation angle is defined and used effectively to construct a graph. Based o... [more] | SIP2015-27 IE2015-27 PRMU2015-27 MI2015-27 pp.143-148 |
|
| ET | 2015-03-14 15:40 |
Tokushima | Shikoku Univ. Plaza | Presentation Support System Based on Contents-dependent Gesture Ryosuke Mishima, Tomoko Kojiri (Kansai Univ) ET2014-116 |
In a presentation, a presenter gives extra explanation to slides that summarize topics. During the explanation, presente... [more] | ET2014-116 pp.175-180 |
| SIP, EA, SP | 2015-03-02 16:10 |
Okinawa | [Special Invited Talk]
Intermediate representation for statistical pattern recognition Koichi Shinoda (TokyoTech) EA2014-85 SIP2014-126 SP2014-148 |
In Deep learning, which has recently seen its boom, it is still not clear how to optimize multi-layer structures. To sol... [more] | EA2014-85 SIP2014-126 SP2014-148 p.73 |
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