| 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 # | |
| IMQ | 2023-12-22 14:00 |
Toyama | University of Toyama | [Invited Lecture]
Machine learning application for 2D/3D data analysis in material science Kentaro Kutsukake (RIKEN)  IMQ2023-9 |
In materials science, data is becoming increasingly complex, high-dimension, large-scale, and numerous, consequently, hi... [more] | IMQ2023-9 pp.1-3 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 14:40 |
Tottori | (Primary: On-site, Secondary: Online) |
Parameter determination method for Isomap based on topological geometry Miura Suyama, Hitoshi Sakano (Shimane Univ) PRMU2023-34 |
In this study, we propose a method to determine the neighborhood parameters of Isomap, a nonlinear dimensionality reduct... [more] | PRMU2023-34 pp.103-106 |
| DE | 2023-06-16 08:50 |
Tokyo | Musashino University (Primary: On-site, Secondary: Online) |
Analysis of Impact of Interest Rate Hikes on U.S. Industry Market Capitalization
-- Time Series Data Analysis by Amplitude-based Clustering -- Saki Takabatake, Yukari Shirota (Gakushuin Univ.) DE2023-1 |
The U.S. Federal Reserve Board (FRB) has been raising the Federal Funds Rate (FF Rate), since March 2022 for price stabi... [more] | DE2023-1 pp.1-6 |
| SIP | 2022-08-26 10:48 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
Instantaneous linear dimensionality reduction for array signal processing Natsuki Ueno, Nobutaka Ono (TMU) SIP2022-65 |
Linear dimensionality reduction of time-series signals observed by a sensor array is often useful in balancing the accur... [more] | SIP2022-65 pp.81-85 |
| SIS, ITE-BCT | 2020-10-01 13:00 |
Online | Online | Evaluation of linear dimensionality reduction methods considering visual information protection for privacy-preserving machine learning Masaki Kitayama, Nobutaka Ono, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2020-13 |
In this paper, linear dimensionality reduction methods are evaluated in terms of difficulty in estimating the visual inf... [more] | SIS2020-13 pp.17-22 |
| CQ | 2020-07-16 16:25 |
Online | Online | [Tutorial Invited Lecture]
Fast calculation methods for electro-holography considering application and communication Takashi Nishitsuji (TMU) CQ2020-27 |
The enormous computational complexity is one of the significant issue for the practical use of an electro-hologrpahy, wh... [more] | CQ2020-27 pp.27-32 |
| SIS | 2019-12-12 16:55 |
Okayama | Okayama University of Science | [Fellow Memorial Lecture]
Adaptive signal processing and image processing, linear or non-linear? Mitsuji Muneyasu (Kansai Univ.) SIS2019-30 |
It is well known that an image is nonstationary, the processing according to its local property should be required. Ther... [more] | SIS2019-30 p.37 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 13:25 |
Okinawa | Okinawa Institute of Science and Technology | A supervised dimensionality reduction method using linear combinations of multiple eigenvectors Akira Imakura, Momo Matsuda, Tetsuya Sakurai (Univ. Tsukuba) IBISML2018-6 |
Dimensionality reduction methods that reduce the dimension of original data to a low-dimensional subspace such as LPP an... [more] | IBISML2018-6 pp.39-45 |
| MBE, NC (Joint) |
2017-11-24 16:50 |
Miyagi | Tohoku University | NC2017-32 |
Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent va... [more] | NC2017-32 pp.29-34 |
| SIS | 2016-12-08 14:10 |
Hiroshima | Hiroshima City Univ. | A Proposal of Two-Dimensional Histogram Specification Method Based on Dimension Reduction Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2016-33 |
Histogram-based image transformation methods, such as histogram equalization and color distribution transfer, are widely... [more] | SIS2016-33 pp.31-34 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 16:30 |
Ibaraki | Dimentionality Reduction Methods Using Error Correcting Codes for Feature Extraction Wataru Matsumoto, Genta Yoshimura, Takashi Yamazaki (Mitsubishi Electric) PRMU2014-46 IBISML2014-27 |
For various media retrieval and recognition applications, we consider the feature extraction vector compressed by a spar... [more] | PRMU2014-46 IBISML2014-27 pp.81-84 |
|
| IBISML | 2013-07-18 11:30 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Estimation of Local Coordinates in Low Dimensional Subspace based on Semi-Supervised Learning with Order Constraints
-- Local Coordinate Extraction from Optical Hyperspectral Data of Vegetation -- Kuniaki Uto (Tokyo Tech.) IBISML2013-5 |
We propose a new method, semi-supervised manifold coordinate projection under order constraints (SMCPOC), and the two va... [more] | IBISML2013-5 pp.27-34 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Extension of Probabilistic PCA for Correlated Samples Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST) IBISML2011-50 |
Principal component analysis (PCA) is one of dimensional reduction methods and has widely been used for feature extracti... [more] | IBISML2011-50 pp.57-60 |
| CQ, MVE, IE (Joint) [detail] |
2011-03-07 09:55 |
Nagasaki | Yasuragi IOUJIMA | Generation of Facial Expressions from Morphable 3D Face Model
-- Contribution of each PCA Parameter toward generation of arbitrary facial expressions -- Hirotoshi Inomata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) IE2010-162 MVE2010-150 |
Generation of arbitrary facial expressions to 3D face model has been usually achieved by either manual processing of the... [more] | IE2010-162 MVE2010-150 pp.95-100 |
| PRMU, DE | 2005-06-16 11:00 |
Hokkaido | Hokkaido Univ. | A Similarity Monitoring Method for Multiple Data Streams Yasuhiro Fujiwara, Kazuyoshi Mii, Yutaka Yanagisawa, Tetsuji Satoh, Masashi Yamamuro (NTT) |
Stored time series data sequences have been applied to various services up to now. An importance of the processing techn... [more] | DE2005-4 PRMU2005-25 pp.19-24 |
[Return to Top Page]