Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-27 14:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.) NC2022-2 IBISML2022-2 |
The goal of this study is to improve performance estimation for neural network architectures in neural architecture sear... [more] |
NC2022-2 IBISML2022-2 pp.6-13 |
MBE, NC (Joint) |
2021-10-28 15:30 |
Online |
Online |
A Deep Neural Network Model Compression with Spherical Clustering of Neurons Shin Sakamoto, Masao Okita, Fumihiko Ino (Osaka Univ) NC2021-22 |
In this paper, we propose weight matrix compression with spherical clustering of neurons , aiming at reducing memory usa... [more] |
NC2021-22 pp.22-27 |
PRMU |
2020-12-18 15:10 |
Online |
Online |
A Hybrid Sampling Strategy for Improving the Accuracy of Image Classification with less Data Ruiyun Zhu, Fumihiko Ino (Osaka Univ.) PRMU2020-62 |
This paper proposes a hybrid sampling strategy to improve learning accuracy with less training data for image classifica... [more] |
PRMU2020-62 pp.139-144 |
CPSY, DC, IPSJ-ARC [detail] |
2019-07-25 13:25 |
Hokkaido |
Kitami Civic Hall |
Acceleration of Human Genome Phenotypic Analysis using Bit-Parallel Search and Multiprocessing Yuichiro Miyamoto, Masao Okita, Fumihiko Ino (Osaka Univ.) CPSY2019-25 DC2019-25 |
In this paper, we propose a combined method of a bit-parallel search in a base sequence and multiprocessing of t-tests f... [more] |
CPSY2019-25 DC2019-25 pp.117-122 |
ICD, CPSY, CAS |
2018-12-21 16:00 |
Okinawa |
|
Accelerating the Held-Karp Algorithm for the symmetric traveling salesman problem Kazuro Kimura, Shinya Higa, Masao Okita, Fumihiko Ino (Osaka Univ.) CAS2018-84 ICD2018-68 CPSY2018-50 |
In this paper, we propose an acceleration method for the Held-Karp algorithm that solves the symmetric traveling salesma... [more] |
CAS2018-84 ICD2018-68 CPSY2018-50 pp.31-36 |
CPSY, DC, IPSJ-ARC (Joint) [detail] |
2018-07-31 14:30 |
Kumamoto |
Kumamoto City International Center |
Reduction of Indirect Addressing in Parallel-Program Generation for Improving Memory Efficiency on Vector Processor Yujiro Ishida, Masao Okita, Kenichi Hagihara, Fumihiko Ino (Osaka Univ.) CPSY2018-20 |
We discuss automatic code generation of a vectorizable program from a large-scale mathematical model. Indirect addressin... [more] |
CPSY2018-20 pp.115-120 |
MI |
2017-07-06 16:15 |
Miyagi |
Tohoku Univ. |
An Automated Method for Generating Training Data for Image Registration Using Deep Learning Masato Ito, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) MI2017-28 |
In this paper, we propose an automated method for generating training data that realizes image registration with deep le... [more] |
MI2017-28 pp.11-16 |
CPSY, DC, IPSJ-ARC (Joint) [detail] |
2015-08-06 13:30 |
Oita |
B-Con Plaza (Beppu) |
Parallelization of Approximate String Matching Based on Computation of Prefix Sums Yasuaki Mitani, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) CPSY2015-39 |
In this paper, aiming at accelerating string search, we propose a parallel method for a shift-or algorithm. Our method a... [more] |
CPSY2015-39 pp.229-234 |
MI |
2012-01-19 11:20 |
Okinawa |
|
Accelerating Normalized Mutual Information based Nonrigid Registration using CUDA Kei Ikeda, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) MI2011-98 |
This paper presents an acceleration method using the compute unified device architecture (CUDA), aiming at accelerating ... [more] |
MI2011-98 pp.115-120 |
MI |
2010-01-28 17:50 |
Okinawa |
Naha-Bunka-Tenbusu |
Acceleration and Accuracy Evaluation of OSEM Reconstruction on the GPU Taiga Katayama, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) MI2009-118 |
This paper proposes a fast method for the ordered subsets-expectation maximization (OSEM) algorithm on the graphics proc... [more] |
MI2009-118 pp.229-234 |
ICM |
2008-03-14 13:45 |
Okinawa |
|
A Study on High-Performance Presence Monitoring System Dan Yamamoto, Tadashi Kaji, Takahiro Fujishiro, Akio Ito, Fumihiko Inoda, Shinichi Irube (Hitachi) TM2007-65 |
NGN has the service platform, which provides some functions to support high-reliability and high-quality services. Our g... [more] |
TM2007-65 pp.73-78 |
MI |
2008-01-25 16:25 |
Okinawa |
Naha-Bunka-Tenbusu |
Performance Evaluation and Accuracy Verification of GPU-Accelerated Cone Beam Reconstruction Seiji Yoshida, Fumihiko Ino (Osaka Univ.), Kazuyoshi Nishino (Shimadzu), Kenichi Hagihara (Osaka Univ.) MI2007-104 |
Generally, cone beam X-ray CT (computed tomography) scans are required to reconstruct a volume in a short time, because ... [more] |
MI2007-104 pp.219-226 |
PRMU, MI |
2007-05-25 11:40 |
Mie |
Mie Univ. |
GPU-Accelerated Volume Reconstruction for Cone-Bean CT Seiji Yoshida, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) PRMU2007-20 MI2007-20 |
Volume reconstruction for cone-beam CT (computed tomography)
is a process which reconstructs 3-D (three dimensional) v... [more] |
PRMU2007-20 MI2007-20 pp.109-114 |
MI |
2007-01-26 10:00 |
Overseas |
the Cheju National Univ. |
Inprovement of efficiency for the three-dimensional parallel image processing library Yasushi Hirano, Tomokazu Takahashi, Takayuki Kitasaka (Nagoya Univ.), Fumihiko Ino, Kensaku Mori, Kenichi Hagihara (Osaka Univ.), Yasuhito Suenaga (Nagoya Univ.) |
We have been developing the pallarel image processing library for three-dimensional images. Using this library, it is po... [more] |
MI2006-87 pp.17-20 |
MI |
2007-01-26 15:20 |
Overseas |
the Cheju National Univ. |
Predicting Execution Time of Image Processing with Adaptive Mesh Refinement Yasuhiro Kawasaki, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) |
This paper presents a method for predicting execution time of image
processing applications based on an adaptive mesh r... [more] |
MI2006-145 pp.235-238 |
MI |
2006-01-28 11:15 |
Okinawa |
Miyakojimashi-Chuo-Kouminkan |
Biplane 2-D/3-D Rigid Registration Using Commodity Graphics Hardware Jun Gomita, Yasuhiro Kawasaki, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) |
One challenging issue in 2-D/3-D rigid registration is to achieve shorter computation time. To solve this issue, this pa... [more] |
MI2005-115 pp.29-32 |
MI |
2006-01-28 11:30 |
Okinawa |
Miyakojimashi-Chuo-Kouminkan |
Preliminary study on three-dimensional parallel image processing library Yasushi Hirano, Tomokazu Takahashi, Takayuki Kitasaka (Nagoya Univ.), Fumihiko Ino (Osaka Univ.), Kensaku Mori (Nagoya Univ.), Kenichi Hagihara (Osaka Univ.), Yasuhito Suenaga (Nagoya Univ.) |
We have been developing the pallarel image processing library for three-dimensional images. Using this library, it is po... [more] |
MI2005-116 pp.33-36 |
COMP |
2005-06-24 11:25 |
Toyama |
|
A Method to Predict Computational Complexity of Adaptive Mesh Refinement by Fractal Analysis Yasuhiro Kawasaki, Fumihiko Ino, Kenichi Hagihara (Osaka Univ.) |
This paper presents a method for predicting the computational complexity of adaptive mesh refinement (AMR) method. AMR i... [more] |
COMP2005-20 pp.9-15 |
MI |
2005-01-21 11:00 |
Okinawa |
Univ. of the Ryukus |
Performance Evaluation of Parallel Nonrigid Registration on Clusters of PCs Yuya Tanaka, Fumihiko Ino, Hiroko Kitaoka, Kenichi Hagihara (Osaka Univ.) |
The objective of our research project is to develop a faster nonrigid registration method for the lung. In this paper, w... [more] |
MI2004-54 pp.19-24 |