Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IE, MI, SIP |
2017-05-25 13:00 |
Aichi |
|
Towards automatic diagnosis of breast cancer from histopathological images Kana Umemoto, Takahiko Furuya, Ryutarou Ohbuchi (Univ. of Yamanashi) SIP2017-1 IE2017-1 PRMU2017-1 MI2017-1 |
(To be available after the conference date) [more] |
SIP2017-1 IE2017-1 PRMU2017-1 MI2017-1 pp.1-6 |
PRMU, IE, MI, SIP |
2017-05-25 13:30 |
Aichi |
|
Towards automatic detection of brain aneurysm in 3D MRA images Xin Liu, Takahiko Furuya, Ryutarou Ohbuchi (Univ. of Yamanashi) SIP2017-2 IE2017-2 PRMU2017-2 MI2017-2 |
(To be available after the conference date) [more] |
SIP2017-2 IE2017-2 PRMU2017-2 MI2017-2 pp.7-12 |
PRMU, IE, MI, SIP |
2017-05-25 13:00 |
Aichi |
|
Image Rearrangement for Vectorized Operations in FIR Filtering Yoshihiro Maeda, Shota Yamashita, Masahiro Nakamura, Norishige Fukushima, Hiroshi Matsuo (NIT) SIP2017-3 IE2017-3 PRMU2017-3 MI2017-3 |
In this paper, we focus vectorized programming for revisited FIR image filtering.
We propose a new design pattern of ve... [more] |
SIP2017-3 IE2017-3 PRMU2017-3 MI2017-3 pp.13-18 |
PRMU, IE, MI, SIP |
2017-05-25 13:30 |
Aichi |
|
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.) SIP2017-4 IE2017-4 PRMU2017-4 MI2017-4 |
Most of constant-time Gaussian filters ($O(1)$ GF) based on the Discrete Cosine Transform (DCT), which provide high perf... [more] |
SIP2017-4 IE2017-4 PRMU2017-4 MI2017-4 pp.19-24 |
PRMU, IE, MI, SIP |
2017-05-25 14:10 |
Aichi |
|
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.) SIP2017-5 IE2017-5 PRMU2017-5 MI2017-5 |
[more] |
SIP2017-5 IE2017-5 PRMU2017-5 MI2017-5 pp.25-29 |
PRMU, IE, MI, SIP |
2017-05-25 14:40 |
Aichi |
|
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.) SIP2017-6 IE2017-6 PRMU2017-6 MI2017-6 |
In this paper, we propose a method to automatically extract the ascending aorta, the coronary artery and the left ventri... [more] |
SIP2017-6 IE2017-6 PRMU2017-6 MI2017-6 pp.31-36 |
PRMU, IE, MI, SIP |
2017-05-25 15:10 |
Aichi |
|
SIP2017-7 IE2017-7 PRMU2017-7 MI2017-7 |
[more] |
SIP2017-7 IE2017-7 PRMU2017-7 MI2017-7 pp.37-42 |
PRMU, IE, MI, SIP |
2017-05-25 14:10 |
Aichi |
|
Dominant Line Extraction in Multimodal GIS Data Tomohiro Nishikawa, Yuichi Tanaka (TUAT) SIP2017-8 IE2017-8 PRMU2017-8 MI2017-8 |
In this report, we propose a multiple line extraction method from multimodal GIS data distributed in high dimensional sp... [more] |
SIP2017-8 IE2017-8 PRMU2017-8 MI2017-8 pp.43-48 |
PRMU, IE, MI, SIP |
2017-05-25 14:40 |
Aichi |
|
Local linear predictive coding for characterizing electro-magnetic noise Fumihiko Ishiyama, Yuichiro Okugawa, Yoshiharu Akiyama (NTT) SIP2017-9 IE2017-9 PRMU2017-9 MI2017-9 |
We are investigating methods of characterizing electric noise to identify the source of the electric noise. For the purp... [more] |
SIP2017-9 IE2017-9 PRMU2017-9 MI2017-9 pp.49-54 |
PRMU, IE, MI, SIP |
2017-05-25 15:10 |
Aichi |
|
Graph Learning for Spectral Clustering using Low-rank and Sparse Decomposition Taiju Kanada, Masaki Onuki, Yuichi Tanaka (TUAT) SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10 |
Spectral clustering is a method of clustering using eigenvectors of graph Laplacian. By using appropriate graphs, it is ... [more] |
SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10 pp.55-60 |
PRMU, IE, MI, SIP |
2017-05-25 15:50 |
Aichi |
|
[Special Talk]
How to Enjoy Music Information Processing Research Shigeki Sagayama (Meiji Univ.) |
[more] |
|
PRMU, IE, MI, SIP |
2017-05-25 17:00 |
Aichi |
|
[Special Talk]
Real-time Forecasting of Big Time-series Data: Foundations and Challenges Yasushi Sakurai (Kumamoto Univ.) SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 |
Time-series data analysis is an important topic that has attracted huge interest in countless domains. Given a large col... [more] |
SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 p.61 |
PRMU, IE, MI, SIP |
2017-05-26 08:50 |
Aichi |
|
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) SIP2017-12 IE2017-12 PRMU2017-12 MI2017-12 |
This study aims to classify OAG patients’ optic disc shape objectively. This study enrolled 163 eyes of 105 OAG patients... [more] |
SIP2017-12 IE2017-12 PRMU2017-12 MI2017-12 pp.63-66 |
PRMU, IE, MI, SIP |
2017-05-26 09:20 |
Aichi |
|
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.) SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 |
It is known that brain tissues have age-related morphological changes through a set of statistical analysis
using large... [more] |
SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 pp.67-70 |
PRMU, IE, MI, SIP |
2017-05-26 09:50 |
Aichi |
|
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.) SIP2017-14 IE2017-14 PRMU2017-14 MI2017-14 |
We proposed a machine learning based method for automatic generation of user-specific make-up facial images. In our prop... [more] |
SIP2017-14 IE2017-14 PRMU2017-14 MI2017-14 pp.71-74 |
PRMU, IE, MI, SIP |
2017-05-26 10:20 |
Aichi |
|
Light Field Acquisition by Coded Aperture using PCA Yusuke Yagi, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.), Toshiki Sonoda (Kyusyu Univ.), Hajime Nagahara (Osaka Univ.) SIP2017-15 IE2017-15 PRMU2017-15 MI2017-15 |
A light field, which is often understood as a set of dense multiview images, has been utilized in various 2D/3D applicat... [more] |
SIP2017-15 IE2017-15 PRMU2017-15 MI2017-15 pp.75-79 |
PRMU, IE, MI, SIP |
2017-05-26 09:20 |
Aichi |
|
Statistical Properties of Hyperspectral Images Kaori Tanji, Hayato Itoh, Atsushi Imiya, Naohiro Manago, Hiroaki Kuze (Chiba Univ.) SIP2017-16 IE2017-16 PRMU2017-16 MI2017-16 |
[more] |
SIP2017-16 IE2017-16 PRMU2017-16 MI2017-16 pp.81-85 |
PRMU, IE, MI, SIP |
2017-05-26 09:50 |
Aichi |
|
Integration of Epoch Similarity to improve Classification of Acute Encephalopathy of Infants Takahiro Kondo, Masashi Nishiyama, Yoshio Iwai, Masayoshi Oguri, Yoshihiro Maegaki (Tottori Univ.) SIP2017-17 IE2017-17 PRMU2017-17 MI2017-17 |
(To be available after the conference date) [more] |
SIP2017-17 IE2017-17 PRMU2017-17 MI2017-17 pp.87-92 |
PRMU, IE, MI, SIP |
2017-05-26 10:20 |
Aichi |
|
Deep Subspace Methods
-- Pattern Recognition using Hierarchical Structure of Linear Subspaces -- Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Ngasaki Univ.) SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18 |
We introduce an new geodesic distance between images. This distance is defined as the Wasserstein distance between contr... [more] |
SIP2017-18 IE2017-18 PRMU2017-18 MI2017-18 pp.93-98 |
PRMU, IE, MI, SIP |
2017-05-26 11:00 |
Aichi |
|
Evaluation of Autonomic Nervous Activity for Wearing Color Glasses during Driving Yutaka Yoshida, Emi Yuda, Hiroki Ogasawara, Junichiro Hayano (Nagoya City Univ.) SIP2017-19 IE2017-19 PRMU2017-19 MI2017-19 |
[more] |
SIP2017-19 IE2017-19 PRMU2017-19 MI2017-19 pp.99-100 |
|