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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
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
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