| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA, SP, SIP | 2016-03-29 10:45 |
Oita | Beppu International Convention Center B-ConPlaza | Tensor-based Speech Representation and its Application to Identification of Languages and Speakers So Suzuki, Daisuke Saito, Nobuaki Minematsu (UTokyo)  EA2015-127 SIP2015-176 SP2015-155 |
This paper proposes a novel approach to speech representation for automatic identification of languages and speakers by ... [more] | EA2015-127 SIP2015-176 SP2015-155 pp.341-346 |
| VLD | 2016-03-02 13:00 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 1
-- A Partitioning Method of Components -- Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) VLD2015-138 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-138 pp.155-160 |
| VLD | 2016-03-02 13:25 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 2
-- A Method for Calculating Sensitivities -- Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-139 pp.161-166 |
| EMM | 2016-01-18 17:00 |
Miyagi | Katahira Campus, Tohoku University | On Voice Quality Transformations for the English Pronunciation Software Aimed at Effective Presentations Yuki Nakahira, Tetsuya Kojima, Tomoko Hori, Sadanobu Yoshimoto (NIT, Tokyo College), Kouichi Suzuki (Kouichi Suzuki's Office) EMM2015-68 |
A computer software to learn English pronunciation aimed at effective presentations in English has been proposed. One of... [more] | EMM2015-68 pp.43-48 |
| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
On a family of $q$-normal distributions in the framework of $tau$-information geometry Masaru Tanaka (Fukuoka Univ.) IBISML2015-62 |
$tau$-information geometry, that is a new formulation of information geometry, is given by extending a translation opera... [more] | IBISML2015-62 pp.69-73 |
| SP | 2015-10-15 13:25 |
Hyogo | Kobe Univ. | Statistical singing voice conversion based on direct waveform modification and its parameter generation algorithms Kazuhiro Kobayashi, Tomoki Toda, Satoshi Nakamura (NAIST) SP2015-60 |
This report presents a novel statistical singing voice conversion (SVC) technique with direct waveform modification base... [more] | SP2015-60 pp.7-12 |
| MI | 2015-09-08 14:50 |
Tokyo | Univ. of Electro-communications | Model Selection from the q-Exponential Distribution for Constructing an Organ Point Distribution Model Mitsunori Yamada, Hidekata Hontani, Hiroshi Matsuzoe (NIT) MI2015-54 |
The authors propose a method that selects an appropriate distribution model for accurately representing statistics of th... [more] | MI2015-54 pp.31-34 |
| RCC, ASN, RCS, NS, SR (Joint) |
2015-07-30 10:30 |
Nagano | JA Naganoken Bldg. | [Poster Presentation]
Parameter Control Method for Physical Wireless Parameter Conversion Sensor Networks based on Estimated Mixture Distribution Taiki Nakayama, Takeo Fujii (UEC), Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ.) RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43 |
We have proposed a physical wireless parameter conversion method for Wireless Sensor Networks (WSNs). In this method, ea... [more] | RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43 pp.91-96(RCC), pp.95-100(NS), pp.93-98(RCS), pp.109-114(SR), pp.131-136(ASN) |
| AP | 2015-03-20 13:10 |
Fukui | Fukui University, Bunkyou Campus | Analysis of Shadow Fading in Mobile Radio
-- Mechanism of Received Power with Log-normal Distribution -- Teruya Fujii, Hideki Omote (SBM) AP2014-221 |
The propagation variation in mobile radio can divide into three independent variations; instantaneous fading (Rayleigh f... [more] | AP2014-221 pp.55-60 |
| PRMU, BioX | 2015-03-19 17:10 |
Kanagawa | Log-normal distribution of objects' size in images and its applications to object detection
-- Comparing general images and food images -- Shota Horiguchi, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) BioX2014-61 PRMU2014-181 |
When detecting objects in images by which classifying many location hypotheses, it is necessary to define aspect ratio a... [more] | BioX2014-61 PRMU2014-181 pp.135-140 |
|
| CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] | 2015-03-06 16:40 |
Kagoshima | An Algorithm to Reduce Components of a Gaussian Mixture Model Considering Distribution Shape of Each Component Naoya Yokoyama, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.) CPSY2014-170 DC2014-96 |
In statistical methods, such as statistical static timing analysis (S-STA) algorithm, summation and minimum or maximum o... [more] | CPSY2014-170 DC2014-96 pp.49-54 |
|
| CQ, IMQ, MVE, IE (Joint) [detail] |
2015-03-03 09:45 |
Tokyo | Seikei Univ. | A study on estimation of number of spare equipments for telecommunication networks Hiroyuki Funakoshi, Tatsuya Matsukawa, Takuma Tsubaki (NTT) CQ2014-113 |
The authors have been proposed the failure rate estimation method considering the change in number of equipments for tel... [more] | CQ2014-113 pp.7-12 |
| NS, IN (Joint) |
2015-03-02 09:50 |
Okinawa | Okinawa Convention Center | An analysis and study of micro burst traffic in an enterprise network Hirofumi Tsuchiya (NTT Communications) IN2014-127 |
In the design and operation of enterprise network, 5-minute average traffic such as MRTG is generally used. With this a... [more] |
IN2014-127 pp.37-42 |
| VLD | 2015-03-04 14:15 |
Okinawa | Okinawa Seinen Kaikan | List-scheduling for tasks with execution time variation Komei Nomura, Yasuhiro Takashima (Univ. of Kitakyushu) VLD2014-184 |
We propose a list-scheduling for the tasks with execution time variation. The previous scheduling methods use the worst ... [more] | VLD2014-184 pp.177-182 |
| MI | 2015-03-03 13:40 |
Okinawa | Hotel Miyahira | Target Extraction from X-ray Image Sequence by using Gaussian Mixture Model for Lung Tumor Tracking Naoki Shibusawa, Kei Ichiji, Yusuke Yoshida, Xiaoyang Zhang, Noriyasu Homma (Tohoku Univ.), Yoshihiro Takai (Hirosaki Univ.), Makoto Yoshizawa (Tohoku Univ.) MI2014-110 |
During treatment fraction, accurate tracking of moving tumor by using X-ray imaging is important for radiation therapy. ... [more] |
MI2014-110 pp.277-282 |
| SP | 2014-11-14 10:55 |
Fukuoka | Kyushu Univ. Chikushi Campus | Design of control parameters for voice quality control based on multiple-regression Gaussian mixture model Kazutaka Kubo, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura (NAIST) SP2014-101 |
This report presents a method for designing control parameters in statistical voice quality control. As a method for int... [more] | SP2014-101 pp.65-70 |
| COMP | 2014-10-08 13:30 |
Tokyo | Chuo University | [Invited Talk]
Statistical Maximum and Minimum Operations for Gaussian Mixture Model and Their Applications Shuji Tsukiyama (Chuo Univ.) COMP2014-28 |
Due to the progress of micro-technology, process variability is increasing in not only inter-die but also intra-die, and... [more] | COMP2014-28 pp.17-18 |
| SP, IPSJ-MUS | 2014-05-25 11:30 |
Tokyo | Statistical bandwidth extension using sub-band basis spectrum model Yamato Ohtani, Masatsune Tamura, Masahiro Morita, Masami Akamine (Toshiba) SP2014-27 |
This paper describes a novel statistical bandwidth extension (BWE) method based on a Gaussian mixture model (GMM) and a ... [more] | SP2014-27 pp.303-308 |
|
| NC, MBE (Joint) |
2014-03-17 14:30 |
Tokyo | Tamagawa University | Analysis of Neural Circuit for Visual Attention using Lognormally Distributed Input Yoshihiro Nagano (Keio Univ.), Norifumi Watanabe (TUT), Atsushi Aoyama (Keio Univ.) NC2013-96 |
Recent physiological studies have indicated that visual attention modulates neural activity depending on the cell types ... [more] | NC2013-96 pp.47-52 |
| IBISML | 2014-03-06 13:50 |
Nara | Nara Women's University | Finding scale-free networks of Gaussian graphical models by sampling Shota Shikita, Osamu Maruyama (Kyushu Univ.) IBISML2013-69 |
The problem of learning the structure of a Gaussian graphical model is to infer the graph representing the relationship ... [more] | IBISML2013-69 pp.15-22 |
[Return to Top Page]