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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 90 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, SIP, EA 2017-03-02
09:00
Okinawa Okinawa Industry Support Center [Poster Presentation] Hardware Speech Sensor Based on Deep Neural Network Feature Extractor and Template Matching
Yi Liu, Boyu Qian, Jian Wang, Takahiro Shinozaki (Titech) EA2016-135 SIP2016-190 SP2016-130
We explore the possibility of combination of a DNN-based feature extractor and template based matching for keyword detec... [more] EA2016-135 SIP2016-190 SP2016-130
pp.297-300
PRMU 2016-12-16
10:30
Tottori   What technology is desired for non-visible concept recognition
Atsushi Hashimoto (Kyoto Univ.) PRMU2016-119
This paper discusses strategies for recognizing non-visible concept recognition. Owing to the recent innovation in deep ... [more] PRMU2016-119
pp.27-28
PRMU 2016-10-20
14:30
Miyazaki   [Invited Talk] Towards Automatic Understanding of Historical or Cursive Documents
Kengo Terasawa (FUN) PRMU2016-92
We have been studying the ways to facilitate utilities of information technologies for the analysis and understanding of... [more] PRMU2016-92
pp.9-14
IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] 2016-08-08
15:10
Fukuoka   A Decryption Method for Passwords Encrypted using Visual Cryptography by Image Recognition
Naoyuki Awano (Seikei Univ.) IE2016-50
Using web services often requires inputting passwords. However using only passwords endangers security because serious d... [more] IE2016-50
pp.27-32
TL 2016-07-24
14:15
Tokyo Waseda Univ. (Nishi-Waseda Campus) Unconscious translation from Japanese kanji to Chinese hanzi by Chinese-Japanese bilinguals: An ERP investigation
Yunzhu Wang, Yingyi Luo (Waseda Univ.), Shota Momma (UMD), Hiromu Sakai (Waseda Univ.) TL2016-25
This study examined whether unconscious L2-to-L1 translation is involved in word recognition by Chinese-Japanese bilingu... [more] TL2016-25
pp.71-76
PRMU, SP, WIT, ASJ-H 2016-06-13
09:00
Tokyo   A study on performance improvement of multi-class image classification using modified CS-LBP features
Toshiaki Inoue (Pioneer) PRMU2016-35 SP2016-1 WIT2016-1
LBP feature, suitable for robust and low-cost texture classification, is expected to be available for high-performance i... [more] PRMU2016-35 SP2016-1 WIT2016-1
pp.1-6
ICD, MW 2016-03-03
09:25
Hiroshima Hiroshima University A Visual-Word Based Feature Transformation System in Computer Aided Diagnosis for Colorectal Endoscopic Images
Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Yoshida, Hiroshi Mieno (Hiroshima General Hospital), Shinji Tanaka (Hiroshima Univ.) MW2015-187 ICD2015-110
This paper describes a feature transformation processing in our eCAD system for colorectal endoscopic Full HD images wit... [more] MW2015-187 ICD2015-110
pp.79-84
CNR 2015-12-17
16:10
Kanagawa   Multimodal Learning of Object Concepts and Word Meanings by Robots
Joe Nishihara, Tatsuya Aoki, Tomoaki Nakamura, Takayuki Nagai (UEC) CNR2015-21
In previous works, we have shown that robots can learn concepts and word meanings by categorizing multimodal information... [more] CNR2015-21
pp.29-33
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]
2015-12-03
09:20
Nagasaki Nagasaki Kinro Fukushi Kaikan Architecture of Bottom-up Feature Construction for Robust Computer-Aided Diagnosis System
Koki Sugi, Tetsushi Koide, Tatsuya Shimizu, Takumi Okamoto, Anh-Tuan Hoang, Hikaru Sato, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.), Shigeto Toshida, Hiroshi Mieno (Hiroshima General Hospital), Shinji Tanaka (Hiroshima Univ.) RECONF2015-56
This paper describes a feature transformation processing in our eCAD system for colorectal endoscopic Full HD images wit... [more] RECONF2015-56
pp.45-50
SP 2015-08-21
10:00
Iwate Iwate Prefectural Univ. Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition
Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi (NTT), Akinori Ito (Tohoku Universicty) SP2015-50
This paper proposes a novel language modeling approach called latent word recurrent neural network language model, which... [more] SP2015-50
pp.1-6
ICSS 2015-03-03
17:05
Okinawa Meio Univiersity A Study on CAPTCHA System Using Differential Awkwardness-Objects
Michitomo Yamguchi (Meiji Univ.), Takeshi Okamoto (Tsukuba Univ. of Tech.), Hiroaki Kikuchi (Meiji Univ.) ICSS2014-72
CAPTCHAs have been accepted as a technique which prevents unauthorized access by bots. Several researchers point out tha... [more] ICSS2014-72
pp.55-60
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS 2015-03-04
11:40
Hokkaido   Speech Recognition Correction System by Prediction of Answer to Question with Conversation System
Fumio Yamazaki, Misako Imono, Seiji Tsuchiya, Hirokazu Watabe (Doshisya Univ.) AI2014-45
Recently, the conversation with person and computer is demanded. Speech recognition is necessary for it. However, speech... [more] AI2014-45
pp.29-34
ET 2014-03-08
13:40
Kochi Kochi National College of Technology Word Learning System with Subject Images Using Head-mount Display
Naoki Sekiguchi, Naoki Kawai, Hiroaki Kimura (KDDI Labs.) ET2013-113
It is expected that learning foreign words with watching the associated actual images is effective way. We think that th... [more] ET2013-113
pp.125-130
SIS 2014-03-06
11:20
Osaka Gran Front Osaka, Knowledge Capital C-9F, 901 About the Speech Recognition of Acoustically Similar Words under the Noise Environment
Yoshiyuki Miyazaki, Yasuhito Arakane (RayTron), Yoshikazu Miyanaga (Hokkaido Univ.) SIS2013-57
In this paper, we propose the method which improves the speech recognition accuracy of acoustically similar words. For e... [more] SIS2013-57
pp.11-16
MI 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan Reduction of training cost for recognition with visual words
Shoji Sonoyama, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) MI2013-104
(To be available after the conference date) [more] MI2013-104
pp.259-263
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-24
10:10
Osaka   Object recognition by the selection of visual words according to each category using frequency histograms
Tatsunori Tomura, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-112 MVE2013-53
The general object recognition is a task that enables a computer to recognize an object and scene in images. In this pap... [more] PRMU2013-112 MVE2013-53
pp.195-200
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-24
10:40
Osaka   *
Wataru Takei, Katsuya Hosobori, Tsuyoshi Kato (Gunma Univ.), Shinichiro Omachi (Tohoku Univ.) PRMU2013-113 MVE2013-54
In computer vision, image crassification has been one of the central
tasks and studied by many researchers.
To deal w... [more]
PRMU2013-113 MVE2013-54
pp.201-206
SP 2013-11-22
11:30
Nara Nara Institute of Science and Technology [Invited Talk] English pronunciation training software "GlobalvoiceCALL"
Masaya Fujita (HOYA Service) SP2013-78
HOYA Service has developed GlobalvoiceCALL, English pronunciation software, and presents development chronology and its ... [more] SP2013-78
pp.43-46
TL 2013-08-03
13:25
Osaka Kwansei Gakuin University, Osaka Umeda Campus Do Chinese L2 learners of Japanese Incrementally Use Prosodic Cues in Word Recognition? -- Eye-Tracking Evidence --
Shuai Yin, Manami Sato, Yingyi Luo, Yosuke Igarashi, Hiromu Sakai (Hiroshima Univ.) TL2013-15
Previous studies have shown that prosodic information plays an important role in spoken word recognition (Sekiguchi et a... [more] TL2013-15
pp.7-12
TL, NLC 2013-06-15
11:30
Ibaraki University of Tsukuba Development of an "awareness" support system using document data -- An approach using word trees to present information --
Toyofumi Arai (Chukyo Univ.)
We developed a system to support "awareness" by visualizing information which was extracted from accumulated documents b... [more] TL2013-13 NLC2013-13
pp.69-74
 Results 21 - 40 of 90 [Previous]  /  [Next]  
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