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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
BCT, IEICE-SIS 2021-10-08
10:00
Online online [Tutorial Lecture] The Past and The Future of Explainable AI Techniques
Yoshitaka Kameya (Meijo Univ.)
Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a cen... [more]
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
13:30
Online Online Proposal of boxing practice support system with AR
Tsukasa Fujikawa, Ken Ishibashi (Kumamoto Pre Univ.)
Acquisition of correct forms is the most important training when beginners take up boxing. However, acquirement of corre... [more] AIT2021-75
pp.165-168
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
13:30
Online Online High-Detailing of Low-Detail Motion of CG Characters
Rikuto Tazawa, Hiroshi Mori, Fubito Toyama (Utsunomiya Univ.)
The motion of a CG character is one of important elements in CG contents. Motion capture and keyframe interpolation are ... [more] AIT2021-82
pp.185-186
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
13:30
Online Online Automatic acoustic scene analysis of touring videos
Daiju Sazuka, Keiko Ochi, Yasunari Oobuchi (Tokyo Univ. Tech.)
This research proposes a system for creating touring videos with a higher sense of realism. The system combines video ta... [more] AIT2021-98
pp.231-232
ME 2021-02-27
10:15
    Automatic Melody Generation using JamSketch with Finger's Image Contour
Ryosei Nakajima (NITKC), Tetsuro Kitahara (NU), Yasuyuki Saito (NITKC)
The purpose of this study is to construct an automatic composition sys
tem. In recent years, automatic composition usin... [more]
ME2021-32
pp.13-16
ME 2021-02-27
14:00
    A System for Joining Body Part Motions Using Reinforcement Learning
Takumu Matsushita, Asako Soga (Ryukoku Univ)
In this study, we developed a system for joining body-part motions using reinforcement learning with the aim of supporti... [more] ME2021-43
pp.57-58
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-29
11:20
Online Online Multimodal personal ear authentication using multiple sensor information
Shunji Itani (Kansai Univ.), Shunsuke KIta (ORIST), Yoshinobu Kajikawa (Kansai Univ.)
In this paper, we consider personal authentication technology using individual differences of acoustic transfer function... [more]
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
11:20
Tokyo Tokyo University of Technology
(Cancelled)
Mosaic processing to a non-object using the machine learning in the 360-degree real-time picture streaming
Naoto Endo, Subroto Prasetyo Hudiono, Tsukasa Kikuchi (TUT)
About mosaic processing technique by the facial recognition using the machine learning [more] AIT2020-81
pp.113-114
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
14:40
Hokkaido Hokkaido Univ.
(Cancelled)
Feature Interaction based Neural Network for Pair Matching Prediction
Luwei Zhang, Xueting Wang (UTokyo), Shintaro Kaneko, Yusuke Usui, Mizuki Kobayashi, Hiroki Kojima (eureka), Toshihiko Yamasaki (UTokyo)
Online dating services have become popular in modern society. Pair matching prediction between two users in these servic... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-28
14:25
Hokkaido Hokkaido Univ.
(Cancelled)
[Special Talk] Infrastructure maintenance deta analysis -- The survey of soundness judgement of bridges by machine learning --
Aoi Hasegawa, Yuki wakuda, Maiku Abe (Hokkaido Univ.), Hiromu Suzuki (NEXCO EAST)
In this study, we investigate the use of machine learning to estimate the soundness of steel bridge RC slabs. Inspection... [more] MMS2020-44 HI2020-44 ME2020-72 AIT2020-44
pp.357-358
ME 2020-02-08
10:45
Kanagawa Kanto Gakuin University Analysis of dance choreography combination using random forest
Ryosuke Kitai, Asako Soga (RU)
This study generates by machine learning dance choreographies that can be useful for choreographers. We analyzed using r... [more] ME2020-2
pp.5-6
ME 2020-02-08
11:45
Kanagawa Kanto Gakuin University An Examination of Estimating Interests as Tourism Targets by Machine Learning with Fixation Behavior
Akihiro Suzuki, Koya Suzuki, Zentaro Kimura, Mie Sato (Utsunomiya Univ.)
(To be available after the conference date) [more] ME2020-14
pp.47-50
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. Analysis of Radio Speech Using Deep Neural Network
Wataru Yokota, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech)
Radio broadcasting, which uses audio information only, is still popular in the modern society in which television and mo... [more] AIT2019-142
pp.325-328
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.)
The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the ... [more] AIT2019-146
pp.341-344
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
14:00
Tokyo Waseda Univ. Analysis of Manzai Speech Using Machine Learning
Tetsuya Kamijima, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech.)
Aiming at autommatic manzai speech evaluation, we analyzed manzai speech using machine learning. In our method, as a pre... [more] AIT2019-168
pp.413-416
3DIT, HI 2019-03-08
14:40
Tokyo Kogakuin Univ. Tokyo Urban Tech Tower Campus Affective Voice Generator by using Generative Adversarial Networks
Takuya Asakura, Shunsuke Akama, Shoji Yamamoto (TMCIT)
A voice assistant device with internet connection has been spread in the world. An efficient use of this device is expec... [more] HI2019-58 3DIT2019-10
pp.37-40
ME 2019-02-09
13:30
Kanagawa Kanto Gakuin University Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed techno... [more] ME2019-11
pp.31-34
AIT, IIEEJ, AS, CG-ARTS 2018-03-16
10:45
Tokyo Tokyo University of Technology Automatic estimation of Key-sound in Rhythm Action Games
Daiki Fukunaga, Yasunari Obuchi (Tokyo Univ. of Tech.)
In this paper, we introduced automatic estimation of so-called key-sounds aiming at automatic generation of the game dat... [more] AIT2018-93
pp.181-184
ME 2018-02-24
14:30
Kanagawa Kanto Gakuin Univ. A consideration of video search for ambiguous aim
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
It is becoming possible to find the expected videos in the internet with considerable accuracy along with the progress o... [more] ME2018-61
pp.65-68
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-16
11:15
Hokkaido Hokkaido Univ. A note on classification of brain metastases from MR images based on machine learning
Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.)
This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed... [more] MMS2018-33 HI2018-33 ME2018-33 AIT2018-33
pp.311-314
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