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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 56  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2022-05-13
12:45
Online Online Directionally-weighted region-to-region kernel interpolation of acoustic transfer function
Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2022-4
An interpolation method for the acoustic transfer function (ATF) for variable source and receiver points within regions ... [more] EA2022-4
pp.18-19
AP 2019-10-18
14:00
Osaka Osaka Univ. Full-Solid Angle Angle-of-Arrival Estimation Using the Phase Reversal Weighting Method
Nana Narukawa, Taiki Fukushima, Koichi Ogawa, Kazuhiro Honda (Toyama Univ.) AP2019-104
This paper presents the phase reversal weighting (PRW) method that provides an angle of arrival (AOA) estimation antenna... [more] AP2019-104
pp.131-136
AI 2019-07-22
14:00
Hokkaido   Predicting Issue Weights and Detecting Breakdowns in Negotiation Dialogue
Atsuki Yamaguchi (TUAT), Kosui Iwasa (DeNA), Katsuhide Fujita (TUAT) AI2019-9
In this paper, we tackle on two tasks in the research of negotiation dialogue: 1) estimation of issue weights and detec... [more] AI2019-9
pp.45-50
EA, ASJ-H, ASJ-AA 2019-07-17
14:00
Hokkaido SAPPORO COMMUNITY PLAZA Time-frequency analysis based on short-time sinusoidal parameter estimation: -- Unified realization of linear and wavelet structures and application to musical and speech sounds --
Shigeru Ando (Univ. Tokyo) EA2019-17
This paper describes a novel and unified method for cconstructing time-frequency spaces with linear and log-linear (wave... [more] EA2019-17
pp.87-92
SIP, MI, IE 2019-05-23
14:15
Aichi   Exact short-time sinusoidal parameter estimation in the wavelet structure
Shigeru Ando (Univ. Tokyo) SIP2019-4 IE2019-4 MI2019-4
This paper describes a parmeter estimation method of real sinusoids from finite length waveform. Being based on the exac... [more] SIP2019-4 IE2019-4 MI2019-4
pp.19-24
MICT, MI 2018-11-06
18:00
Hyogo University of Hyogo A Study of an Age Estimation Method From Brain MRI Images Using 3D-CNN and Its Application
Masaru Ueda, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MICT2018-57 MI2018-57
The statistical analysis of brain MR images indicates that the human brain atrophies during normal aging process. The ag... [more] MICT2018-57 MI2018-57
pp.79-82
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Regularized Modal Regression via Iteratively Reweighted Least-Squares
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-88
In modal regression, iterative methods that are based on the modal EM (MEM) and those based on the iteratively reweighte... [more] IBISML2018-88
pp.329-335
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
11:45
Okinawa   [Short Paper] Performance Evaluation of Age Estimation Methods Using ADNI Database -- Comparison of Brain Local Features and CNN --
Koichi Ito, Ryuichi Fujimoto (Tohoku Univ.), Kai Wu (South China Univ. Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2017-71
This paper evaluates the accuracy of age estimation methods with brain local features and CNN using the ADNI database. W... [more] MI2017-71
pp.29-30
DC 2018-02-20
09:30
Tokyo Kikai-Shinko-Kaikan Bldg. Note on Weighted Fault Coverage for Two-Pattern Tests
Masayuki Arai (Nihon Univ.), Kazuhiko Iwasaki (Tokyo Metro. Univ.) DC2017-77
hrinking feature size and higher integration on semiconductor device manufacturing technology bring a problem of the gap... [more] DC2017-77
pp.1-6
SIP 2017-08-24
10:50
Tokyo Tokyo Denki University HDR Imaging from LDR Images with Motion by Estimating Shutter Speed
Aika Miyagawa, Xi Zhang (UEC) SIP2017-50
Composition of High Dynamic Range (HDR) image from Low Dynamic Range (LDR) images has been comprehensively studied. In m... [more] SIP2017-50
pp.13-18
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
EA, US
(Joint)
2017-01-25
13:00
Kyoto Doshisha Univ. [Poster Presentation] Directive beamforming based on probability weighted least square
Ryusuke Tanaka, Yoichi Haneda (UEC) EA2016-70
Directivity beamforming using a microphone array has been currently implemented for noise suppres-
sion in video confer... [more]
EA2016-70
pp.13-18
VLD, DC, CPSY, RECONF, CPM, ICD, IE
(Joint) [detail]
2016-11-30
09:00
Osaka Ritsumeikan University, Osaka Ibaraki Campus Fast Test Pattern Reordering Based on Weighted Fault Coverage
Shingo Inuyama, Kazuhiko Iwasaki (Tokyo Metropolitan Univ.), Masayuki Arai (Nihon Univ.) VLD2016-61 DC2016-55
Shrinking feature size and higher integration on semiconductor device manufacturing technology bring a problem of the ga... [more] VLD2016-61 DC2016-55
pp.99-104
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. Incremental Natural Actor Critic with Importance Weight Aware Update
Ryo Iwaki (Osaka Univ.), Hiroki Yokoyama (Tamagawa Univ.), Minoru Asada (Osaka Univ.) IBISML2016-81
Appropriate tuning of step-size parameter is crucial for reinforcement learning, as well as other machine learning techn... [more] IBISML2016-81
pp.251-257
MI 2016-07-25
15:15
Hokkaido Tomakomai Civic Hall A Study of an Efficient Method of Selecting Effective Brain Local Features for Age Estimation
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.) MI2016-38
Estimating the age of a subject by evaluating brain morphological changes leads diagnostic support
or early detection o... [more]
MI2016-38
pp.13-18
EA, SP, SIP 2016-03-29
09:00
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Speaker verification using weight-adapted score fusion in noisy reverberant environments
Ryosuke Nakanishi, Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) EA2015-114 SIP2015-163 SP2015-142
This paper proposes a weight estimation method for automatic speaker verification (ASV) using score fusion in noisy reve... [more] EA2015-114 SIP2015-163 SP2015-142
pp.267-272
IA 2015-11-12
17:00
Chiba NARITA VIEW HOTEL [Poster Presentation] An Investigation of Effectiveness of an Estimation Method of Wireless Network Conditions using MAC Layer Informations
Takafumi Shintani, Kaori Maeda (Hiroshima City Univ.), Tohru Kondo (Hiroshima Univ.) IA2015-59
Improvement of communication quality of wireless LANs is expected since those are parts of communication infrastructure ... [more] IA2015-59
pp.109-111
EA, ASJ-H 2015-08-04
13:45
Miyagi Tohoku Univ., Research Inst. of Electrical Communication On an Objective Prediction Method of Binaural Speech Intelligibility
Kazuya Taira, Kazuhiro Kondo (Yamagata Univ) EA2015-22
Most existing objective intelligibility prediction method predicts monaural intelligibility using monaural signal. There... [more] EA2015-22
pp.71-76
MI 2014-11-18
10:50
Hyogo   An Age Estimation Method Using Local Features of Brain MRI Images and Its Evaluation
Chihiro Kondo, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2014-45
It is well known that brain tissues have age-related morphological changes through a set of statistical analysis using l... [more] MI2014-45
pp.11-16
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Feature Extraction for Image Classification using Restricted Boltzmann Machines
Reiki Suda, Koujin Takeda (Ibaraki Univ.) IBISML2014-36
Learning restricted Boltzmann machines (RBMs) for high-dimensional data using maximum likelihood estimation had been fac... [more] IBISML2014-36
pp.9-15
 Results 1 - 20 of 56  /  [Next]  
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