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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, CAS, IPSJ-AL [detail] | 2023-11-17 14:45 |
Okinawa | Construction of criminal models using kernel density estimation Kenta Sakakura, Eiji Konaka (Meijo Univ.) |
(To be available after the conference date) [more] | ||
| RCS, SR, SRW (Joint) |
2023-03-01 11:15 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Self-Superviced Non-IID Federated Learning by using CKA Li Zhaojie, Ohtsuki Tomoaki (Keio Univ.), Gui Guan (NJUPT)  RCS2022-254 |
Federated Learning is now widely used to train neural networks on distributed datasets. It allows a system to perform di... [more] | RCS2022-254 pp.42-47 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multiscale Manifold Clustering and Embedding with Multiple Kernels Kyohei Suzuki, Masahiro Yukawa (Keio Univ.) EA2022-123 SIP2022-167 SP2022-87 |
This paper presents a clustering and embedding method to analyze data which lie on a union of multiple manifolds having ... [more] | EA2022-123 SIP2022-167 SP2022-87 pp.276-281 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:45 |
Hokkaido | Hokkaido Univ. | A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Supervised latent variable models aim to estimate a manifold from original data and supervised information, such as clas... [more] | |
| MSS, SS | 2023-01-11 15:50 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Composite SVM in HSI Classification Tamura Akito, Kitamura Takuya (NIT) MSS2022-61 SS2022-46 |
In this paper, we propose an improved method of composite support vector machines for hyper-spectral image classificatio... [more] | MSS2022-61 SS2022-46 pp.96-100 |
| QIT (2nd) |
2022-12-08 18:15 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
Quantum Fisher kernel for mitigating the vanishing similarity issue Yudai Suzuki, Hideaki Kawaguchi, Naoki Yamamoto (Keio Univ.) |
Quantum kernel method is a machine learning model exploiting quantum computers to calculate the quantum kernels (QKs) th... [more] | |
| SRW | 2022-08-22 14:40 |
Online | Online | [Invited Talk]
Towards Future-Generation Wireless Communication Technology with Multikernel Adaptive Filter
-- Partially Linear Filter for Robust Multiuser Detection -- Masahiro Yukawa (Keio Univ.) SRW2022-15 |
This review article presents a comprehensive overview of our recent developments for nonlinear multiuser detection using... [more] | SRW2022-15 pp.33-38 |
| CS | 2022-07-15 10:50 |
Kagoshima | Yakushima Environmental and Cultural Village Center (Primary: On-site, Secondary: Online) |
Trapezoidal Block Householder Reflector and Its Application to Precoding Hikaru Kawasaki, Takeshi Matsumura (NICT) CS2022-32 |
Orthonormalization like singular value decomposition and QR decomposition is closely related to solution representation ... [more] | CS2022-32 pp.83-88 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 14:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Hadamard-Coded Supervised Discrete Hashing on Quaternion Domain Manabu Sueyasu (The Univ. Kitakyushu), Seisuke Kyochi (Kogakuin Univ.), Gou Koutaki (Kumamoto Univ.) SIP2022-23 BioX2022-23 IE2022-23 MI2022-23 |
This paper extends Hadamard-coded supervised discrete hashing on real domain (termed as $mathbb{R}$-HCSDH) using a real-... [more] | SIP2022-23 BioX2022-23 IE2022-23 MI2022-23 pp.117-122 |
| 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 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Direction-of-Arrival Estimation of Wideband Sound field based on Microphone Array Signals at Two Time Points Takahiro Iwami, Ken-ichi Sawai, Akira Omoto (Kyushu Univ.) EA2021-65 SIP2021-92 SP2021-50 |
We construct a band-limited function space in which the wavenumber spectrum is spherically restricted in the general dim... [more] | EA2021-65 SIP2021-92 SP2021-50 pp.9-14 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 13:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Filtered-X LMS algorithm based on individual interpolation of primary and secondary sound fields for spatial active noise control Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari (The Univ. of Tokyo) EA2021-84 SIP2021-111 SP2021-69 |
Spatial active noise control (ANC), which aims to reduce noise over a three-dimensional target region, has at- tracted a... [more] | EA2021-84 SIP2021-111 SP2021-69 pp.126-131 |
| MI, MICT [detail] | 2021-11-05 12:45 |
Online | Online | [Invited Talk]
Iris Authentication using Higher-Order Spectral Features Keisuke Kameyama (Univ. Tsukuba) MICT2021-35 MI2021-33 |
This report summarizes the works on the use of higher-order spectral (HOS) features for iris authentication. Initially, ... [more] | MICT2021-35 MI2021-33 pp.31-36 |
| AP, SANE, SAT (Joint) |
2021-07-28 13:05 |
Online | Online | Doppler and k-space Decomposed Super-Resolution Micro-Doppler Velocity Analysis with Weighted Kernel Density Estimator for Millimeter Wave Radar Takeru Ando, Shouhei Kidera (UEC) AP2021-28 SANE2021-18 |
Super-resolution micro-Doppler-velocity analysis based on the weighted kernel density (WKD) method is presented for shor... [more] | AP2021-28 SANE2021-18 pp.25-30(AP), pp.18-23(SANE) |
| ITS | 2021-07-02 13:05 |
Online | Online | Error Reduction Method employing Dither Method with Interfering Signals for Distance Estimation Technique Seiya Horiuchi, Hiroyuki Hatano, Kosuke Sanada, Kazuo Mori (Mie Univ.), Takaya Yamazato (Nagoya Univ.), Shintaro Arai (Okayama Univ. of Science), Masato Saito (Univ. of the Ryukyus), Yukihiro Tadokoro, Hiroya Tanaka (Toyota CRDL) ITS2021-1 |
In positioning systems, the Received Signal Strength Indicator (RSSI) is actively used to measure between user’s device ... [more] | ITS2021-1 pp.1-6 |
| MI | 2021-03-16 14:00 |
Online | Online | Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74 |
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] | MI2020-74 pp.112-117 |
| IBISML | 2021-03-02 10:50 |
Online | Online | Kernel tensor decomposition based unsupervised feature extraction
-- Applications to bioinformatics -- Y-h. Taguchi (Chuo Univ.) IBISML2020-36 |
A lot of research has been done on the so-called textit{large p small n} problem, where the number of samples is small c... [more] | IBISML2020-36 pp.16-23 |
| IBISML | 2020-10-20 10:50 |
Online | Online | System operation for estimation of road condition using tire vibration data Satoru Kawamata (Bridgestone), Tomoko Matsui (ISM), Mitsuhiro Nishida, Takeshi Masago (Bridgestone) IBISML2020-10 |
In a system that estimates the road surface condition from tire sensor data and supports safe driving, it is crucial to ... [more] | IBISML2020-10 pp.14-19 |
| PRMU, IPSJ-CVIM | 2020-03-17 17:05 |
Kyoto | (Cancelled but technical report was issued) |
Experimental Evaluation on Bayes Error Estimation Capability of Kernel Minimum Classification Error Training Koji Yamada (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.) PRMU2019-100 |
A pattern classifier incorporating kernel mapping, which is trained by the Kernel Minimum Classification Error (KMCE) tr... [more] | PRMU2019-100 pp.237-242 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 14:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Typicality evaluation of food-type specific presentation Masamu Nakamura, Yasutomo Kawanishi (Nagoya Univ.), Keisuke Doman (Chukyou Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2019-49 IE2019-131 MVE2019-70 |
We propose a method to evaluate the typicality of a food presentation within its food-type for supporting cooking recipe... [more] | IMQ2019-49 IE2019-131 MVE2019-70 pp.171-176 |
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