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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 70  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, ISEC, IT, WBS 2023-03-14
15:45
Yamaguchi
(Primary: On-site, Secondary: Online)
Improvement of the Performance for Quantum Neural Network Classifiers based on Optimal Quantum Measurement Decoding
Yusaku Yamada, Jun Suzuki (UEC) IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103
In this work, we study the problem of supervised label classification using quantum neural network (QNN). We propose a m... [more] IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103
pp.242-247
MSS, SS 2023-01-11
10:00
Osaka
(Primary: On-site, Secondary: Online)
Prohibited Items Detection in X-ray Security Inspection by Using a Deep Learning Method
Qingqi Zhang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) MSS2022-52 SS2022-37
Security screening machines using X-ray scanners are usually used to find out whether there are prohibited items in pack... [more] MSS2022-52 SS2022-37
pp.42-47
PRMU, IPSJ-CVIM 2022-05-13
10:00
Aichi Toyota Technological Institute Robust Small Objects Detection Using YOLO-v4 with Attention and Layer
Yuedong Li (Chuo Univ) PRMU2022-1
Abstract: It is a difficult problem how to make traditional neural network algorithm show good adaptability to the typic... [more] PRMU2022-1
pp.1-5
SAT, SANE
(Joint)
2022-02-24
14:50
Online Online Utilization of Dynamic Map Data in Cyberspace -- Automatic generation of road feature vector data from point cloud --
Junichi Takiguchi (MELCO) SANE2021-99
Mitsubishi Mobil mapping system (MMS) is utilized widely for road account book update, maintenance of the road infrastru... [more] SANE2021-99
pp.12-16
EMM 2022-01-27
13:25
Online Online Access Control Using Feature Map Transformation With Secret Key for Object Detection Models
Teru Nagamori, Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-85
In this paper, we propose an access control method for object detection models.
The use of transformed images or transf... [more]
EMM2021-85
pp.7-12
MI 2022-01-27
16:39
Online Online [Short Paper] Multiple Organ Detection from CT Images Based on Deep Learning -- Fusion of 2D-CNN and Transformer --
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] MI2021-89
pp.190-193
SANE 2021-08-27
11:05
Online Online Satellite Data Fusion for damage assessment and analysis of the significant features
Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] SANE2021-29
pp.37-42
SANE 2021-06-25
13:30
Online Online A study of feature detector robust to illumination changes
Takayuki Ishida, Seisuke Fukuda (JAXA) SANE2021-9
In the field of deep space landing, autonomous position estimation using images is becoming a practical method. On the o... [more] SANE2021-9
pp.1-5
SANE, SAT
(Joint)
2021-02-18
14:25
Online Online Trajectory Optimization Based on Overlapped Point Cloud Data -- Trajectory conversion weighted upon Satellite positioning residual --
Junichi Takiguchi, Koji Kaneko (MELCO) SAT2020-31
In order to reduce the positioning error caused by GNSS invisibility due to buildings, the corresponding road feature po... [more] SAT2020-31
pp.13-18
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
15:40
Online Online Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information
Norifumi Kawabata (Tokyo Univ. of Science)
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more]
AP 2020-12-17
13:50
Online Online A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] AP2020-98
pp.13-17
PRMU 2019-12-19
11:15
Oita   A Study on the Extraction Method of Handwritten Chinese Character's Structure Using the Simplicial Complex and Simplicial Approximation
Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2019-49
We have been investigating a method to extract structural information of handwritten chinese characters, realizing how t... [more] PRMU2019-49
pp.17-21
IMQ, HIP 2019-07-19
15:30
Hokkaido Satellite Campus, Sapporo City University A Note on User-specific Visual Attention Estimation Based on Visual and Spatial Information in Images -- A Study on Relationship between Estimation Performance and the Similarity of Visual Features --
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2019-3 HIP2019-31
This paper presents a consideration of the number of nearest neighbors in our estimation method for user-specific visual... [more] IMQ2019-3 HIP2019-31
pp.13-16
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
10:15
Kagoshima Kagoshima University Person Re-identification with Simultaneous Use of Individual and Group Appearance Features
Shingo Inami (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2018-58 IE2018-142 MVE2018-89
In this paper, we propose a method for person re-identification (ReID).
Conventional methods have utilized appearance f... [more]
IMQ2018-58 IE2018-142 MVE2018-89
pp.201-204
MBE 2019-01-31
10:25
Saga Saga University Feature extraction of seizures in continuous video EEG
Daiya Nakashima, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ), Haruhiko Nohira (Nihon Kohden), Yuichi Kubota (TMG Asaka Medical Center/Tokyo Women's Medical University) MBE2018-58
Electroencephalographic (EEG) record provides a significant information in clinical diagnosis of epileptic patients. Esp... [more] MBE2018-58
pp.5-8
MBE, NC
(Joint)
2018-03-14
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Hierarchical quaternion neural networks with self-organizing codebook for unsupervised PolSAR land classification
Hyunsoo Kim, Akira Hirose (Tokyo Univ.) NC2017-88
We propose a self-organizing codebook-based hierarchical polarization feature vector generation to realize an unsupervis... [more] NC2017-88
pp.121-126
PRMU, CNR 2018-02-20
09:30
Wakayama   Detection of outdoor cables from point-cloud measured by MMS -- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) --
Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT) PRMU2017-159 CNR2017-37
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map-
ping Systems hav... [more]
PRMU2017-159 CNR2017-37
pp.83-87
MBE, NC, NLP
(Joint)
2018-01-26
15:50
Fukuoka Kyushu Institute of Technology Restricted Representation for Attentional Items of Feature Map Developed by a Self-Organizing Map
Hiroshi Wakuya, Yuukou Tanaka, Hideaki Itoh (Saga Univ.) NC2017-56
A self-organizing map (SOM) can be seen as a signal converter preserving its topology between the input and output space... [more] NC2017-56
pp.35-40
NLP 2017-11-06
15:15
Miyagi Research Institute of Electrical Communication Tohoku University Stability of Cellular Automata with Time-variant Rules
Takahiro Ozawa, Toshimichi Saito (HU) NLP2017-83
The elementary cellular automata(ECA) is
a digital dynamical system in which time, space and states are all discrete.
... [more]
NLP2017-83
pp.101-105
NLP, CAS 2017-10-05
13:25
Niigata Machinaka Campus Nagaoka Analysis of Cellular Automata based on Simple Feature Quantities
Kazuma Makita, Takahiro Ozawa, Toshimichi Saito (HU) CAS2017-25 NLP2017-50
This paper studies basic dynamics of cellular automata(CA):
digital dynamical systems in which time,
space and state... [more]
CAS2017-25 NLP2017-50
pp.5-9
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