IEICE Technical Report

Online edition: ISSN 2432-6380

Volume 118, Number 362

Pattern Recognition and Media Understanding

Workshop Date : 2018-12-13 - 2018-12-14 / Issue Date : 2018-12-06

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Table of contents

PRMU2018-75
Style conversion
Miduki Mori, Toshiki Nakamura, Hideaki Hayashi, Seiichi Uchida (Kyushu Univ.)
pp. 1 - 6

PRMU2018-76

Toshiki Nakamura, Seiichi Uchida (Kyushu Univ.)
pp. 7 - 12

PRMU2018-77
Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition
Soichi Tashima, Hideaki Goto (Tohoku Univ.)
pp. 13 - 18

PRMU2018-78
An attention-based encoder-decoder for recognizing Japanese historical document recognition
Le Duc Anh (CODH), Mochihashi daichi (ISM), Masuda katsuya, Mima Hideki (UT)
pp. 19 - 22

PRMU2018-79
Extracting rules from convolutional neural networks
Hiroshi Tsukimoto, Yuya Sato (Tokyo Denki Univ.)
pp. 23 - 28

PRMU2018-80
Fast Distributional Smoothing for CTC-VAT and its Application to Text Line Recognition
Ryohei Tanaka, Soichiro Ono, Akio Furuhata (Toshiba Digital Solutions)
pp. 29 - 34

PRMU2018-81
(See Japanese page.)
pp. 35 - 38

PRMU2018-82
Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks
Ryo Matsui, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)
pp. 39 - 44

PRMU2018-83
Buried Object Detection From Ground Penetrating Radar Image Using YOLO
Yusuke Hamano, Tomoyuki Kimoto (National Institute of Technology, Oita College), Jun Sonoda (National Institute of Technology, Sendai College)
pp. 45 - 50

PRMU2018-84
Detection of Partially Occluded Flowers for Robotic Pollination
Ryo Sato, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Tsukasa Ogasawara (NAIST)
pp. 51 - 56

PRMU2018-85
[Short Paper] Calving prediction using behavioral information from video
Kazuma Sugawara (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./IFLab), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.)
pp. 57 - 60

PRMU2018-86
[Short Paper] Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network
Thao Minh Le, Nakamasa Inoue, Koichi Shinoda (TokyoTech)
pp. 61 - 64

PRMU2018-87
(See Japanese page.)
p. 65

PRMU2018-88
What Affects Visual Ad Clicks in Social Media Platforms?
Yuki Iwazaki, Kota Yamaguchi (CyberAgent, Inc.)
pp. 67 - 72

PRMU2018-89
Training of Traffic Sign Detector and Classifier Using Synthetic Road Scenes
Akira Sekizawa, Katsuto Nakajima (TDU)
pp. 73 - 78

PRMU2018-90
Calving sign detection with cattle state-based feature extraction from video frames
Ryosuke Hyodo, Saki Yasuda (Waseda Univ.), Susumu Saito (Waseda Univ./iflab, inc.), Yusuke Okimoto (Waseda Univ.), Teppei Nakano, Makoto Akabane (Waseda Univ./iflab, inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.)
pp. 79 - 84

PRMU2018-91
Interior style estimation using deep learning techniques for product recommendation.
Yusuke Yamaura, Yukihiro Tsuboshita (FX)
pp. 85 - 90

PRMU2018-92
Bayes Boundary Estimation Capability Assessment for Large Geometric Margin Minimum Classification Error Training
Ikuhiro Nishiyama (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Osaki (Doshisha Univ.)
pp. 91 - 96

PRMU2018-93
Experimental Evaluation of Automatic Determination of Loss Smoothness for Minimum Classification Error Training
Kazuma Kobayashi (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.)
pp. 97 - 102

PRMU2018-94
Correcting Outputs of Ensemble LSTMs by CRF for Robust Activity Recognition
Haruka Abe, Yuta Hayakawa (Tokyo Tech), Takuya Hino, Motohide Sugihara, Hiroki Ikeya (KOMATSU), Masamichi Shimosaka (Tokyo Tech)
pp. 103 - 108

PRMU2018-95
Vision and Language for Automatic Paper Summary Generation
Shintaro Yamamoto, Yoshihiro Fukuhara (Waseda Univ.), Ryota Suzuki, Hirokatsu Kataoka (AIST), Shigeo Morishima (Waseda Research Institute for Science and Engineering)
pp. 109 - 114

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan