Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2014] | [2015] | [2016] | [2017] | [2018] | [2019] | [2020] | [Japanese] / [English]
PRMU2017-63
Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition
Kazuki Osawa, Akira Sekiya, Hiroki Naganuma, Rio Yokota (Tokyo Inst. of Tech.)
pp. 1 - 6
PRMU2017-64
Research on Automatic Nervous State Estimation based on Time-Series Deep Learning
Kanji Yamaguchi, Masayuki Kashima, Shinya Fukumoto, Kiminori Satou, Mutsumi Watanabe (Kagoshima Univ.)
pp. 7 - 12
PRMU2017-65
Extracting photographic subjects with deep learning and automatically select to best composition
Soma Nagadome, Shigeki Aoki, Takao Miyamoto (Osaka Pref. Univ.)
pp. 13 - 18
PRMU2017-66
Face identification based on shape spaces randomly generated from facial minute feature points
Kazuki Takasaka, Kazuhiro Fukui (Tsukuba Univ.)
pp. 19 - 24
PRMU2017-67
An Effective De-noising Algorithm for Making A Large Celebrity Face Dataset with A High Purity
Zheng Ge, Quan Cui (Waseda Univ.), Rong Xu, Masahiro Imai (Datasection Inc.), Osamu Yoshie (Waseda Univ.)
pp. 25 - 30
PRMU2017-68
Online Human Action Detection using Deep Spatio-temporal Transformation
Yukihide Takagaki, Masaki Aono (TUT)
pp. 31 - 35
PRMU2017-69
Indoor Area Estimation Using Convolutional Neural Network with Spectrogram of Environmental Ultrasound
Tatsuro Tsuchiya, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.)
pp. 37 - 42
PRMU2017-70
Implementation and Performance Analysis of iOS Deep Learning Application using CoreML
Ryosuke Tanno, Yuki Izumi, Keiji Yanai (UEC)
pp. 43 - 48
PRMU2017-71
The Effectiveness of CNN feature for mutual subspace method
Taku Nakayama, Kazuhiro Fukui (Univ. Tsukuba)
pp. 49 - 54
PRMU2017-72
Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.)
pp. 55 - 60
PRMU2017-73
Entanglement Entropic Convolutional Neural Network
Shu Eguchi, Masaru Tanaka (Fukuoka Univ.)
pp. 61 - 66
PRMU2017-74
Generalized Subclass Method for Multi-label Classification
Batzaya Norov-Erdene, Mineichi Kudo (Hokkaido Univ.)
pp. 67 - 72
PRMU2017-75
CNN-based Estimation of Food Calories for Multiple-dish Food Photos
Takumi Ege, Keiji Yanai (UEC)
pp. 73 - 78
PRMU2017-76
Research on Adaptive Assistance Based on Situation Recognition of Robot
Takaya Ono, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.)
pp. 79 - 84
PRMU2017-77
Self-state-aware convolutional neural network for autonomous driving
Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
pp. 85 - 90
PRMU2017-78
[Short Paper]
Research of Automatic Scene Segmentation for Video Summary Generation based on Deep Learning
Yuki Futami, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.)
pp. 91 - 92
PRMU2017-79
[Short Paper]
A Study on Manga Object Recognition Mechanism by Convolution Neural Network
Hideaki Yanagisawa, Takuro Yamashita, Hiroshi Watanabe (Waseda Univ.)
pp. 93 - 94
PRMU2017-80
[Tutorial Lecture]
Families of GANs
Tomohiro Takahashi (ABEJA)
pp. 95 - 100
PRMU2017-81
Improvement of speed using low precision arithmetic in deep learning and performance evaluation of accelerator
Hiroki Naganuma, Akira Sekiya, Kazuki Osawa, Hiroyuki Ootomo, Yuji Kuwamura, Rio Yokota (Tokyo Inst. of Tech.)
pp. 101 - 107
PRMU2017-82
[Survey paper] Vision-based path prediction
Tsubasa Hirakawa, Takayoshi Yamashita (Chubu Univ.), Toru Tamaki (Hiroshima Univ.), Hironobu Fujiyoshi (Chubu Univ.)
pp. 109 - 118
PRMU2017-83
[Short Paper]
Binarised Neural Networks without Activation Functions
Yu Oya, Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura (NTT)
pp. 119 - 120
PRMU2017-84
Tracking and Individual Identification of Japanese Macaque Using Deep Learning and Particle Filter
Hidetaka Hayashi, Ryosuke Kabata, Kazunori Terada (Gifu Univ.), Masataka Ueno (Kyoto Univ.), Kazunori Yamada (Osaka Univ.)
pp. 121 - 125
PRMU2017-85
Research on Automatic Vermin (Deer) Recognition based on Machine Learning
Takuya Noma, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.)
pp. 127 - 132
PRMU2017-86
Multiple Alternative COALA Clusterings
Daiki Yamazaki, Mineichi Kudo (Hokkaido Univ.)
pp. 133 - 138
PRMU2017-87
(See Japanese page.)
pp. 139 - 144
PRMU2017-88
[Short Paper]
The relationship in 7 Sequential Learningr Rate Scheduling for Deep Learning
Masaki Yano (Tsukuba Univ./AIST), Masaki Onishi (AIST)
pp. 145 - 148
PRMU2017-89
Parallelization of the structure of neural network for super-resolution
Kenta Tanaka, Yasukuni Mori (Chiba Univ.)
pp. 149 - 154
PRMU2017-90
Deep Learning Based-Estimation Method for Starting Time of Each Stroke by Using IMU
Yuto Omae (NIT,Tokyo College), Masahiro Kobayashi, Kazuki Sakai, Akira Shionoya, Hirotaka Takahashi (NUT), Chikara Miyaji (Univ. of Tokyo), Yoshihisa Sakurai (Sports Sensing), Kazufumi Nakai, Nobuo Ezaki (NIT,Toba College), Takuma Akiduki (TUT)
pp. 155 - 160
PRMU2017-91
Object Identification from Underground Radar Images by CNN With Partially VGG Structure
Jun Sonoda (NIT, Sendai College), Tomoyuki Kimoto (NIT, Oita College)
pp. 161 - 166
PRMU2017-92
[Tutorial Lecture]
Understanding Deep Neural Network to Solve the Technical and Social Issues
Takahiro Kubo (TIS)
pp. 167 - 168
PRMU2017-93
Robust Human Pose Estimation from Distorted Images
Daisuke Miki, Shinya Abe (TIRI)
pp. 169 - 174
PRMU2017-94
(See Japanese page.)
pp. 175 - 180
PRMU2017-95
Automatic Visual Inspection of Metal Pressed Parts Using CNN
Katsuhisa Kitaguchi, Yohei Nishizaki, Mamoru Saito (ORIST)
pp. 181 - 186
PRMU2017-96
A Study on Traffic Sign Detection and Classification with Single Shot Detection
Janet Mardjuki (Simon Fraser Univ.), Yongqing Sun, Shingo Ando, Kinebuchi Tetsuya (NTT)
pp. 187 - 191
PRMU2017-97
Collaborative Learning Optimizer for Supporting Collaborative Learning Based on Intelligent Information Processing
-- On Model Structure and Learner's Personality --
Yuto Omae (NIT,Tokyo College), Tatsuro Furuya (YMTES), Kazutaka Mizukoshi (Digital Alliance), Takayuki Oshima, Norihisa Sakakibara (Hyogo Univ. of Teacher Education), Yoshiaki Mizuochi (Joetsu Univ. of Education), Kazuhiro Yatsushiro (Yamanashi Pref. Univ.), Hirotaka Takahashi (Nagaoka Univ. of Tech.)
pp. 193 - 198
PRMU2017-98
(See Japanese page.)
pp. 199 - 204
PRMU2017-99
Stability of Classification Performance by AdaBoost with Parallell Adjustment using Error-Correcting Output Codes
Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba)
pp. 205 - 210
PRMU2017-100
[Short Paper]
Research of Automatic Separation for Background and Moving Objects based on Spatio-Temporal Image Processing
Sho Nakamura, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.)
pp. 211 - 212
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.