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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AP, SANE, SAT (Joint) |
2023-07-13 15:50 |
Hokkaido | The Citizen Activity Center (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Historical visit to three Nakagami distributions: Part 2: q distribution Yoshio Karasawa  AP2023-52 |
The three probability distributions, namely, n distribution, q distribution, and m distribution devised by Minoru Nakaga... [more] | AP2023-52 pp.115-120 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models Takashi Takekawa (Kogakuin Univ.) NC2022-9 IBISML2022-9 |
Mixture models for multivariate normal distributions (GMM) are widely used for data clustering. To compensate for the s... [more] | NC2022-9 IBISML2022-9 pp.76-79 |
| AP | 2020-02-21 11:25 |
Shizuoka | Shizuoka Univ. Hamamatsu Campus | Random Walk and Wave Propagation Yoshio Karasawa AP2019-190 |
While doing a random walk, we visit some basic probability distributions that appear in radio wave propagation models. R... [more] | AP2019-190 pp.53-57 |
| MBE, NC (Joint) |
2017-12-16 13:25 |
Aichi | Nagoya University | Extraction of Color Regions on a Color Glove Using Gaussian Mixture Model Estimation Noriaki Fujishima, Shun Nishikori (NIT, Matsue College) MBE2017-59 |
In this study, the authors have researched the extraction accuracy of color regions using Gaussian Mixture Model Estimat... [more] | MBE2017-59 pp.35-38 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 13:00 |
Tokyo | On MDL Learning of Gaussian Mixture Modlels Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) PRMU2017-47 IBISML2017-19 |
The final goal of this work is model sellection for gaussian mixture models(GMM) based on the minimum description length... [more] | PRMU2017-47 IBISML2017-19 pp.59-66 |
|
| IT | 2017-09-08 14:50 |
Yamaguchi | Centcore Yamaguchi Hotel | On Two Part Coding of Gaussian Mixture Models Kohei Miyamoto, Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-47 |
The final goal of this work is model sellection for gaussian mixture models(GMM) based on the minimum description leng... [more] |
IT2017-47 pp.49-54 |
| AP | 2017-08-24 14:50 |
Hokkaido | National Institute of Technology, Hakodate College | Design of Simultaneous Generation of Three OAM Modes by Using a RLSA Fed by a Waveguide Circuit in the 60-GHz Band Xin Xu, Jiro Hirokawa (Tokyo Inst. of Tech.), Agnese Mazzinghi, Angelo Freni (Univ. of Florence) AP2017-77 |
This paper reports a 60-GHz radial line slot antenna (RLSA) for non-far region orbital angular momentum (OAM) multiplexi... [more] | AP2017-77 pp.49-52 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 09:30 |
Okinawa | Okinawa Institute of Science and Technology | Expectation Propagation for t-Exponential Family Futoshi Futami, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-6 |
Exponential family distributions are highly useful in machine learning since their calculation can be performed efficien... [more] | IBISML2017-6 pp.179-184 |
| VLD | 2017-03-02 16:15 |
Okinawa | Okinawa Seinen Kaikan | An algorithm to compute covariance for finding distribution of the maximum Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2016-121 |
In statistical approaches such as statistical static timing analysis, the distribution of the maximum of plural distribu... [more] | VLD2016-121 pp.103-108 |
| EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] | 2016-07-15 13:00 |
Yamaguchi | Efficient Discrete Gaussian Sampling on Constrained Devices Yuki Tanaka, Isamu Teranishi, Kazuhiko Minematsu (NEC), Yoshinori Aono (NICT) ISEC2016-32 SITE2016-26 ICSS2016-32 EMM2016-40 |
Lattice-based cryptography has been attracted by features of simple-implementation, quantum-resilient, and high-level fu... [more] | ISEC2016-32 SITE2016-26 ICSS2016-32 EMM2016-40 pp.169-175 |
|
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Adaptive Objective Function of ICA by Gaussian Approximation in Second-Order Polynomial Feature Space Yoshitatsu Matsuda, Kazunori Yamaguchi (Univ. of Tokyo) IBISML2015-91 |
In this paper, we propose an objective function of ICA with adaptive estimation of the kurtoses of sources. It is deriv... [more] |
IBISML2015-91 pp.285-292 |
| 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 |
|
| 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 |
| RCS | 2014-06-18 10:53 |
Okinawa | Okinawa-ken Seinenkaikan (Naha) | The Secret Key Capacity of Secret Key Agreement Scheme Using Multiple-Antenna Naoki Iwamoto, Hideichi Sasaoka, Hisato Iwai (Doshisha Univ) RCS2014-70 |
This paper deals with the secret key capacity of secret key agreement scheme using multiple antennas. It is assumed that... [more] | RCS2014-70 pp.219-224 |
| PRMU | 2013-12-12 10:10 |
Mie | Character recognition using statistical evaluation of surrounding information Naoki Uchida, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) PRMU2013-70 |
Scene text recognition methods often consist of text extraction step and recognition step. Recognition accuracy of this ... [more] | PRMU2013-70 pp.11-16 |
|
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2013-07-19 13:25 |
Tokyo | Analysis of coding performance improvement caused by frequency band partition in subband image coding using generalized gaussian distribution Haruhiko Miyazaki, Masashi Kameda (Iwate Pref. Univ.) IE2013-27 |
In subband image coding, the optimum frequency band partition which segments the 2-D frequency domain based on the power... [more] | IE2013-27 pp.7-12 |
|
| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-02 10:30 |
Tokyo | q-Gaussian Mixture Models for Video Semantic Indexing Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-34 IBISML2012-17 |
Gaussian mixture models (GMMs) which extend the bag-of-visual-words (BoW) to a probabilistic framework have been proved ... [more] | PRMU2012-34 IBISML2012-17 pp.31-36 |
|
| PRMU, SP | 2012-02-10 09:00 |
Miyagi | Lip Tracking Based on a Curved Gaussian Density Xin Lu, Kiyoshi Nishiyama (Iwate Univ.) PRMU2011-220 SP2011-135 |
A deformable tracker based on curved Gaussian density is proposed to improve the accuracy and robustness of lip tracking... [more] | PRMU2011-220 SP2011-135 pp.143-148 |
|
| SP, NLC, IPSJ-SLP [detail] | 2011-12-19 15:45 |
Tokyo | Concise representation of a matrix of basis functions for speech analysis and synthesis by using segmental NMF Cheol Lee, Kazunori Mano (Shibaura Inst. of Tech.) NLC2011-40 SP2011-85 |
We have proposed an analysis-synthesis method by using non-negative matrix factorization in phoneme-wise speech segments... [more] | NLC2011-40 SP2011-85 pp.55-60 |
|
| IBISML | 2011-06-20 16:15 |
Tokyo | Takeda Hall | Efficient Computation of Re-Normalized Maximum Likelihood Coding for Gaussian Mixtures with Its Applications to Optimal Clustering So Hirai, Kenji Yamanishi (Univ. of Tokyo) IBISML2011-5 |
We are concerned with the issue of efficient computation of re-normalized maximum likelihood (RNML) code-lengths for Gau... [more] | IBISML2011-5 pp.29-35 |
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