Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 16:45 |
Online |
Online |
Detecting task-relevant spatiotemporal modules and their adaptation-dependent modulations Masato Inoue, Daisuke Furuki, Ken Takiyama (TUAT) NC2020-25 |
It is still unclear how the central nervous system (CNS) controls our bodies. A hypothesis about neural control is that ... [more] |
NC2020-25 pp.89-94 |
ICSS, IPSJ-SPT |
2020-03-03 09:10 |
Okinawa |
Okinawa-Ken-Seinen-Kaikan (Cancelled but technical report was issued) |
A research of HTTP request and an identification method of fake User-Agent values Masato Inoue, Masaki Hashimoto (IISEC) ICSS2019-83 |
Almost all websites that are open to the public are subject to scan and attack, and have received a lot of anomaly reque... [more] |
ICSS2019-83 pp.91-96 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Posterior mean approximation solution combining multiple image prior distributions in MR image reconstruction Nanako Kubota, Ken Harada (Waseda Univ.), Koji Fujimoto, Tomohisa Okada (Kyoto Univ.), Masato Inoue (Waseda Univ.) IBISML2018-47 |
In the MR image reconstruction, combining multiple image prior distributions is preferred to obtain better results, but ... [more] |
IBISML2018-47 pp.23-28 |
IBISML |
2017-11-09 13:00 |
Tokyo |
Univ. of Tokyo |
Regularization of learning prameters in posterior mean estimate approximation in CS-SENSE method Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) IBISML2017-52 |
We have proposed a method to approximate posterior mean (PM) estimation of the CS-SENSE method, which is one of the tech... [more] |
IBISML2017-52 pp.131-138 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
Compressed Sensing CT image reconstruction using Bayesian Optimization for mixing multiple image priors Tomonori Suga, Masato Inoue (Waseda Univ.) IBISML2017-73 |
In order to reduce the amount of radiation exposure, which increases the risk of cancer, many researches have been done ... [more] |
IBISML2017-73 pp.283-288 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
[Poster Presentation]
Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields Yuya Takashina, Masato Inoue (Waseda Univ.) IBISML2017-88 |
Learning the structure of graphical models is important in many fields, e.g., multivariate analysis and anomaly detectio... [more] |
IBISML2017-88 pp.383-388 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2017-09-15 14:00 |
Tokyo |
|
Posterior Mean Approximate Estimate Considering Uncertainty of Sensitivity Map in CS-SENSE Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) PRMU2017-49 IBISML2017-21 |
Posterior mean (PM) estimation is generally more accurate than maximum a posteriori probability (MAP) estimation when we... [more] |
PRMU2017-49 IBISML2017-21 pp.75-82 |
MI |
2017-01-18 11:34 |
Okinawa |
Tenbusu Naha |
MI2016-77 |
[more] |
MI2016-77 pp.29-30 |
SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 11:20 |
Tokyo |
NTT Musashino R&D |
Speaker Recognition Based on Features through 1-Dimensional Convolutional Neural Network Shohei Sonoda, Yufu Kasahara, Masato Inoue (Waseda Univ) SP2016-52 |
Most of the speaker recognition methods utilize the voice features of the mel-frequency cepstrum coefficients (MFCCs) an... [more] |
SP2016-52 pp.17-21 |
IBISML |
2016-11-16 15:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
An ensemble learning for MR image reconstruction Yufu Kasahara, Masato Inoue (Waseda Univ), Kaori Togashi (Kyoto Univ) IBISML2016-58 |
In order to shorten the magnetic resonance (MR) imaging time, a lot of image reconstruction methods from a small number ... [more] |
IBISML2016-58 pp.87-91 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
Performance comparison of natural image priors by using exchange Monte Carlo method Atsuki Matsuo, Toru Otagaki, Masato Inoue (Waseda Univ.) IBISML2016-72 |
Image processing using Bayesian framework generally needs to assume a image prior. However, there are no explicit criter... [more] |
IBISML2016-72 pp.185-189 |
IBISML |
2016-11-17 14:00 |
Kyoto |
Kyoto Univ. |
[Poster Presentation]
MAP reconstruction of multi-coil MR image with tree-structured wavelet prior Yufu Kasahara, Masato Inoue (Waseda Univ), Kaori Togashi (Kyoto Univ) IBISML2016-84 |
The magnetic resonance (MR) imaging is important for medical evaluation. However, it suffers from a long observation tim... [more] |
IBISML2016-84 pp.275-278 |
NLP |
2016-03-25 10:25 |
Kyoto |
Kyoto Sangyo Univ. |
Combinatorial Optimization of Swiss System Tournaments
-- Approximation Algorithms for Set Partitioning Problem -- Sho Osako, Masato Inoue (Waseda Univ.) NLP2015-151 |
In a Swiss system tournament, players are paired in every round and paired against opponents who have the same or simila... [more] |
NLP2015-151 pp.53-56 |
NC, NLP (Joint) |
2016-01-28 15:25 |
Fukuoka |
Kyushu Institute of Technology |
Validation of the Effects of Ensemble Learning for i-vector-based Speaker Identification
-- Bagging vs Random forest -- Shohei Sonoda, Masato Inoue (Waseda Univ) NC2015-58 |
Currently, most speaker identification methods have been performed by i-vectors which represent the features of unique s... [more] |
NC2015-58 pp.13-16 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
A Parallel MRI using SENSE and Wavelet tree sparsity Yufu Kasahara, Masato Inoue (Waseda Univ), Kaori Togashi (Kyoto Univ) IBISML2015-90 |
[more] |
IBISML2015-90 pp.281-284 |
IBISML |
2015-11-27 14:00 |
Ibaraki |
Epochal Tsukuba |
[Poster Presentation]
L1 regularization for ordinal regression problem Kazuhisa Nagashima, Masato Inoue (Waseda Univ.) IBISML2015-92 |
[more] |
IBISML2015-92 pp.293-297 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2015-09-15 15:30 |
Ehime |
|
Validation of hybrid prior model for rapid MR imaging
-- TV prior and wavelet prior -- Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) PRMU2015-91 IBISML2015-51 |
MR imaging issue is important in the field of medical imaging. To date, it has been often discussed about priors, but r... [more] |
PRMU2015-91 IBISML2015-51 pp.171-175 |
IBISML |
2014-11-18 15:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Enumerating all the optimal solutions of multiple travelling salesman problem by using simpath algorithm Masashi Ogawa, Masato Inoue (Waseda Univ.) IBISML2014-78 |
In this manuscript, we propose an exact method which answers all the optimal solutions of "multiple traveling salesman p... [more] |
IBISML2014-78 pp.321-328 |
NLC |
2013-09-13 10:30 |
Tokyo |
National Olympics Memorial Youth Center |
Unsupervised word segmentation by enumerating maximal substrings Yuta Kawachi, Masato Inoue (Waseda Univ.) NLC2013-25 |
Unsupervised word segmentation is a method for estimating word boundaries from a given sentence itself, without any word... [more] |
NLC2013-25 pp.55-60 |
IBISML |
2013-03-04 16:10 |
Aichi |
Nagoya Institute of Technology |
An Application of Minimum Description Length Criterion to the Model Selection of Discrete Mixture Models Yasuaki Akazawa, Masato Inoue (Waseda Univ.) IBISML2012-97 |
Minimum description length (MDL) is an information criterion which estimates the optimal complexity of a stochastic mode... [more] |
IBISML2012-97 pp.31-38 |