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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 227 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-30
15:10
Okinawa OKINAWAKEN SEINENKAIKAN Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography
Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] MI2019-120
pp.235-236
IN 2020-01-23
13:50
Aichi WINC AICHI Manga Feature Tag Extraction from Reviews on the Web for e-Book Search
Kazuya Murao, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-65
In recent years, the digitization of books has progressed, and the number of Web sites for selling e-book comics has inc... [more] IN2019-65
pp.1-6
IBISML 2020-01-09
16:45
Tokyo ISM Application of tensor decomposition based unsupervised feature extraction to single cell RNA-seq analysis
Y-h. Taguchi (Chuo Univ.) IBISML2019-26
Cannonical correlation analysis (CCA) is known to integrate two matrices, each of which have elements, $x_{ij} in mathbb... [more] IBISML2019-26
pp.55-59
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-04
10:50
Tokyo NHK Science & Technology Research Labs. The Feature Analysis and Automatic Classification on Contracts Text Data
Mina Fujii, Yasuhiro Iwaki (GVA TECH), Tsuneaki Kato (The Univ. of Tokyo) NLC2019-30
Currently, automation of legal tasks, such as drafting or reviewing contracts, is highly needed because these tasks cos... [more] NLC2019-30
pp.7-12
MBE, NC 2019-10-11
15:00
Miyagi   Analysis of diffuse lung disease shadows using Bolasso feature selection method
Akihiro Endo (UEC), Kenji Nagata (NIMS), Shoji Kido (Osaka Univ.), Hayaru Shouno (UEC) MBE2019-33 NC2019-24
Diffuse lung disease is an intractable disease and abnormal shadows appear on lung X-ray CT images.
Since various patte... [more]
MBE2019-33 NC2019-24
pp.23-27
BioX 2019-10-04
09:00
Okinawa   Person Verification Using Evoked EEGs by Inaudible Auditory Stimulation -- Introduction of Non-linear Features for Improvement of Verification Performance --
Takehiro Maruoka, Isao Nakanishi (Tottori Univ.) BioX2019-59
A brain wave (EEG) is a suitable biometrics for realizing continuous authentication in user management. The authors are ... [more] BioX2019-59
pp.21-26
NLC, IPSJ-DC 2019-09-27
17:25
Tokyo Future Corporation Caputuring the correlation between consumers' preferences among different domains from E-commerce review data
Gaia Suzuki, Masanao Ochi, Ichiro Sakata (The Univ. of Tokyo) NLC2019-15
Segmentation is essential for strategical marketing, but it is considered difficult to both divide market needs among di... [more] NLC2019-15
pp.35-40
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
14:10
Okayama   Analysis and Feature Selection of CNN Features -- Recognition of Neoplasia by using Endocytoscopic Images --
Hayato Itoh (Nagoya Univ.), Yuichi Mori, Masashi Misawa (Showa Univ.), Masahiro Oda (Nagoya Univ.), Shin-Ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) PRMU2019-29 MI2019-48
Pathological pattern classification is based on texture patterns in ultra magnified view of polyp surfaces.
Deep learni... [more]
PRMU2019-29 MI2019-48
pp.129-134
SP 2019-08-28
14:40
Kyoto Kyoto Univ. [Poster Presentation] Analysis of prosodic differences between a newscaster and amateur speakers using partial-substituted synthetic speech
Takuya Ozuru (Univ. of Tokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) SP2019-11
This paper analyzes prosodic differences between a professional newscaster and amateur speakers which affects listeners’... [more] SP2019-11
pp.13-18
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
16:30
Hokkaido Hokkaido Univ. A Fundamental Study on Laparoscopic Image Region Segmentation Based on Texture Analysis by Regions
Norifumi Kawabata (Nagoya Univ.), Toshiya Nakaguchi (Chiba Univ.)
Most of image region segmentation studies can be divided to both subjective method by assessors and objective method by ... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
15:30
Hokkaido Hokkaido Univ. A note on interest level estimation for videos using users' behavior based on OpenPose
Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a novel method for interest level estimation using OpenPose which can obtain users' body skeleton po... [more]
CCS 2018-11-23
14:05
Hyogo Kobe Univ. Dynamics analysis and application of cellular automata with time-variant rules
Takahiro Ozawa, Toshimichi Saito (HU) CCS2018-43
The cellular automata are digital dynamical systems in which time, space, states are all discrete. Depending on a rule, ... [more] CCS2018-43
pp.57-60
IMQ 2018-10-19
14:40
Kyoto Kyoto Institute of Technology Classification Method for Texture Types Based on Texture Analysis Results of HEVC Image Quality in the Shitsukan Research Database
Norifumi Kawabata (Nagoya Univ.) IMQ2018-13
As definition of Shitsukan or Texture, there are many kind of meaning and interpretation. Therefore, there were many stu... [more] IMQ2018-13
pp.13-18
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
09:50
Fukuoka   Anomaly Detection for Various Operations of Machine
Kazuki Kobayashi, Masatoshi Sekine, Satoshi Ikada (OKI) PRMU2018-56 IBISML2018-33
In this paper, we propose an anomaly level estimation method for various operation of machine. Our proposed method has t... [more] PRMU2018-56 IBISML2018-33
pp.133-138
NLC, IPSJ-DC 2018-09-07
13:35
Tokyo Seikei University Investigation of Features focusing on Interpretation for Metrical Analysis of Literary Text
Shun Watanabe, Takeru Yokoi (TMCIT) NLC2018-21
Various features are used for metrical analysis of literary text, which are depending on the task. In tasks aim at inter... [more] NLC2018-21
pp.79-84
PRMU, SP 2018-06-28
15:10
Nagano   Multimodal voice conversion using deep bottleneck features and deep canonical correlation analysis
Satoshi Tamura, Kento Horio, Hajime Endo, Satoru Hayamizu (Gifu Univ.), Tomoki Toda (Nagoya Univ.) PRMU2018-24 SP2018-4
In this paper, we aim at improving the speech quality in voice conversion and propose a novel multi-modal voice conversi... [more] PRMU2018-24 SP2018-4
pp.13-18
PRMU, SP 2018-06-29
10:30
Nagano   Analysis of speech-to-texture sentiment association characteristics
Win Thuzar Kyaw, Yoshinori Sagisaka (Waseda Univ.) PRMU2018-30 SP2018-10
Aiming at speech visualization using textures or finding texture generation scheme from sentiment information embedded i... [more] PRMU2018-30 SP2018-10
pp.47-52
EMCJ, WPT
(Joint)
2018-06-14
13:35
Nagasaki   Experimental validation for waveform model of conducted disturbances below 150 kHz from power conversion equipment
Farhan Mahmood, Yuichiro Okugawa, Jun kato (NTT) EMCJ2018-11
International Electrotechnical Commission (IEC) specifies conducted immunity test wave as continuous wave (CW) in IEC 61... [more] EMCJ2018-11
pp.1-6
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
13:00
Okinawa   [Poster Presentation] Acoustic analysis of speech for emergency speech detection of voicemail
Matsuto Hori (Meiji Univ.), Hosana Kamiyama, Satoshi Kobashikawa (NTT), Shigeki Sagayama (Meiji Univ.) EA2017-112 SIP2017-121 SP2017-95
In this paper, we investigate the effectiveness of acoustic features for detecting urgency in voicemail. In previous res... [more] EA2017-112 SIP2017-121 SP2017-95
pp.63-68
MBE, NC
(Joint)
2018-03-14
14:25
Tokyo Kikai-Shinko-Kaikan Bldg. Effect of Alzheimer's Disease on factors in waveform features of Pupil Light Reflex
Wioletta Nowak (Wroclaw Univ. of S&T), Minoru Nakayama (Tokyo Tech), Krecicki Tomasz (Wroclaw Medical Univ.), Andrzej Hachol (Wroclaw Univ. of S&T) MBE2017-107
Pupil light reflex (PLR) for 1 second chromatic stimuli was analysed to
develop a procedure of detecting Alzheimer's D... [more]
MBE2017-107
pp.131-136
 Results 41 - 60 of 227 [Previous]  /  [Next]  
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