Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EMM, EA, ASJ-H |
2023-11-23 13:00 |
Toyama |
|
[Poster Presentation]
A Study of Complexity Reduction for Classification of Musical Instruments Using Element Selection Ryu Kato, Natsuki Ueno, Nobutaka Ono (Tokyo Metropolitan Univ.), Ryo Matsuda, Kazunobu Kondo (Yamaha Corp.) EA2023-37 EMM2023-68 |
In this study, we propose complexity reduction in convolutional-neural-network (CNN)-based music instruments classificat... [more] |
EA2023-37 EMM2023-68 pp.51-56 |
WIT |
2023-06-17 15:20 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Improved Visual Intentions Estimation Model Using Depth Information and Object Detection Sho Higa, Masakiyo Okuhama, Koji Yamada (Ryukyu Univ.), Shihoko Kamisato (NIT,Okinawa College) WIT2023-17 |
In this study, we propose an improved visual intention estimation model based on object detection to distinguish eye and... [more] |
WIT2023-17 pp.76-77 |
PRMU |
2018-12-13 10:30 |
Miyagi |
|
Candidate Reduction Method Using Hierarchical Overlapping Clustering and Convolutional Neural Network for Fast Chinese Character Recognition Soichi Tashima, Hideaki Goto (Tohoku Univ.) PRMU2018-77 |
Along with the widespread of the mobile devices equipped with cameras, many applications using the camera function have ... [more] |
PRMU2018-77 pp.13-18 |
NC, NLP (Joint) |
2017-01-26 16:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Estimation of respiratory state using machine learning Keisuke Matsuoka, Jiro Okuda (Kyoto Sangyo Univ.) NC2016-53 |
Recent studies have tried to extract information on respiration from photoplethysmographic (PPG) signals. It is well kno... [more] |
NC2016-53 pp.31-36 |
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 |
PRMU |
2009-03-14 10:45 |
Miyagi |
Tohoku Institute of Technology |
* Aiko Oka, Toshikazu Wada (Wakayama Univ.) PRMU2008-267 |
This paper presents a regression method, two-dimensional Mahalanobis distance minimization mapping (2D-M3), which is an ... [more] |
PRMU2008-267 pp.183-190 |
PRMU |
2006-03-17 14:00 |
Fukuoka |
Kyushu Univ. |
Non-Iterative Two-Dimensional Linear Discriminant Analysis for Face Recognition Kohei Inoue, Kiichi Urahama (Kyushu Univ.) |
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled... [more] |
PRMU2005-286 pp.179-182 |
PRMU, NLC |
2005-09-22 13:10 |
Tokyo |
|
An Evaluation of Pseudo 3-Dimentional Vector Feature Extraction Method
-- An Improved Correlation Method for Character Recognition -- Marie Nikaido, Koji Kitamura, Yumi Nakashima, Michio Yasuda (Meisei Univ.) |
We evaluate a pseudo 3-dimensional and directional features extraction method which previously reported.
This method ... [more] |
NLC2005-49 PRMU2005-76 pp.77-82 |
PRMU |
2005-01-21 09:30 |
Kyoto |
|
A Proposal for Pseudo 3-Dimensional and Directional Feature Extraction Method
-- An Improved Correlation Method for Character Recognition -- Marie Nikaido, Koji Kitamura, Yumi Nakashima, Michio Yasuda (Meisei Univ.) |
We propose the pseudo 3-dimensional and directional feature extraction
method for the character recognition method us... [more] |
PRMU2004-164 pp.7-12 |