Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380
[TOP] | [2014] | [2015] | [2016] | [2017] | [2018] | [2019] | [2020] | [Japanese] / [English]
PRMU2017-1
Towards automatic diagnosis of breast cancer from histopathological images
Kana Umemoto, Takahiko Furuya, Ryutarou Ohbuchi (Univ. of Yamanashi)
pp. 1 - 6
PRMU2017-2
Towards automatic detection of brain aneurysm in 3D MRA images
Xin Liu, Takahiko Furuya, Ryutarou Ohbuchi (Univ. of Yamanashi)
pp. 7 - 12
PRMU2017-3
Image Rearrangement for Vectorized Operations in FIR Filtering
Yoshihiro Maeda, Shota Yamashita, Masahiro Nakamura, Norishige Fukushima, Hiroshi Matsuo (NIT)
pp. 13 - 18
PRMU2017-4
Comprehensive Performance Analysis on Constant-time Gaussian Filter based on Discrete Cosine Transform
Kenjiro Sugimoto (Waseda Univ.), Seisuke Kyochi (Univ. of Kitakyushu), Sei-ichiro Kamata (Waseda Univ.)
pp. 19 - 24
PRMU2017-5
Super-resolution of CT images guided by Micro CT images
Kyohei Takeda, Yutaro Iwamoto (Ritsumeikan Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST), Yen-Wei Chen (Ritsumeikan Univ.)
pp. 25 - 29
PRMU2017-6
An Extraction Method of Coronary Artery and Left Ventricle from Heart CT Images based on Hough Transformation and Region Growing
Shoto Sekimura, Akio Doi, Toru Kato (Iwate Pref. Univ.), Maiko Hozawa, Yoshihiro Morino (Iwate Medical Univ.)
pp. 31 - 36
PRMU2017-7
(See Japanese page.)
pp. 37 - 42
PRMU2017-8
Dominant Line Extraction in Multimodal GIS Data
Tomohiro Nishikawa, Yuichi Tanaka (TUAT)
pp. 43 - 48
PRMU2017-9
Local linear predictive coding for characterizing electro-magnetic noise
Fumihiko Ishiyama, Yuichiro Okugawa, Yoshiharu Akiyama (NTT)
pp. 49 - 54
PRMU2017-10
Graph Learning for Spectral Clustering using Low-rank and Sparse Decomposition
Taiju Kanada, Masaki Onuki, Yuichi Tanaka (TUAT)
pp. 55 - 60
PRMU2017-11
[Special Talk]
Real-time Forecasting of Big Time-series Data: Foundations and Challenges
Yasushi Sakurai (Kumamoto Univ.)
p. 61
PRMU2017-12
Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters from ophthalmic examination instruments
Guangzhou An (TOPCON/RIKEN), Kazuko Omodaka, Satoru Tsuda, Yukihiro Shiga, Naoko Takada (Tohoku Univ.), Tsutomu Kikawa (TOPCON), Toru Nakazawa (Tohoku Univ./RIKEN), Hideo Yokota (RIKEN), Masahiro Akiba (TOPCON/RIKEN)
pp. 63 - 66
PRMU2017-13
An Age Estimation Method Using Brain Local Features of Brain MRI Images and Its Performance Evaluation
Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.)
pp. 67 - 70
PRMU2017-14
Automatic Generation of User-Specific Make-up Facial Image Based on Machine Learning
Ayumi Tsuji, Masataka Seo (Ritsumeikan Univ.), Yuko Mutoh (Yokohama National Univ.), Yen-Wei Chen (Ritsumeikan Univ.)
pp. 71 - 74
PRMU2017-15
Light Field Acquisition by Coded Aperture using PCA
Yusuke Yagi, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.), Toshiki Sonoda (Kyusyu Univ.), Hajime Nagahara (Osaka Univ.)
pp. 75 - 79
PRMU2017-16
Statistical Properties of Hyperspectral Images
Kaori Tanji, Hayato Itoh, Atsushi Imiya, Naohiro Manago, Hiroaki Kuze (Chiba Univ.)
pp. 81 - 85
PRMU2017-17
Integration of Epoch Similarity to improve Classification of Acute Encephalopathy of Infants
Takahiro Kondo, Masashi Nishiyama, Yoshio Iwai, Masayoshi Oguri, Yoshihiro Maegaki (Tottori Univ.)
pp. 87 - 92
PRMU2017-18
Deep Subspace Methods
-- Pattern Recognition using Hierarchical Structure of Linear Subspaces --
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Ngasaki Univ.)
pp. 93 - 98
PRMU2017-19
Evaluation of Autonomic Nervous Activity for Wearing Color Glasses during Driving
Yutaka Yoshida, Emi Yuda, Hiroki Ogasawara, Junichiro Hayano (Nagoya City Univ.)
pp. 99 - 100
PRMU2017-20
High-accurate heart rate estimation from facial videos based on ICA-R
Terumi Umematsu, Masanori Tsujikawa (NEC)
pp. 101 - 106
PRMU2017-21
Learning Rate Control of Nonseparable Oversampled Lapped Transform Design by Stochastic Gradient Descent
Genki Fujii, Shogo Muramatsu (Niigata Univ.)
pp. 107 - 112
PRMU2017-22
Interaction Analysis based on Non-Verbal Features
Nuo Zhang, Tomotake Kozu (Tohmatsu)
pp. 113 - 117
PRMU2017-23
Improvement of LLAH by high-speed character area estimation in captured document image
-- Fast estimation of characters and noise and image normalization --
Kohei Miyamoto, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.)
pp. 119 - 124
PRMU2017-24
Background Modeling based on Gaussian Mixture Model using Spatial Features
Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki (Mie Univ.)
pp. 125 - 130
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.