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All Technical Committee Conferences (Searched in: Recent 10 Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EA, SIP, SP, IPSJ-SLP [detail] |
2025-03-04 10:10 |
Okinawa |
(Okinawa) |
Riverbed Estimation using Locally-Structured Unitary Network with Multiresolution Representation Seiyu Hitomi, Godage Yasas, Hiroyasu Yasuda, Kiyoshi Hayasaka, Shogo Muramatsu (Niigata Univ.) |
(To be available after the conference date) [more] |
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SIP |
2022-08-25 14:15 |
Okinawa |
Nobumoto Ohama Memorial Hall (Ishigaki Island) (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Multiresolution Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to Riverbed State Estimation Eisuke Kobayashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.) SIP2022-54 |
In this report, we propose a method that incorporates multi-resolution representation into Convolutional-Sparse-Coded Dy... [more] |
SIP2022-54 pp.25-30 |
EA, ASJ-H |
2022-08-04 15:15 |
Miyagi |
(Miyagi, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Audio Source Separation Combining Wavelet Transform and Deep Neural Network Tomohiko Nakamura (Univ. Tokyo) EA2022-32 |
Audio source separation is a technique of separating an observed audio signal into individual source signals. The use of... [more] |
EA2022-32 p.25 |
PRMU |
2019-10-18 14:50 |
Tokyo |
(Tokyo) |
From Cats to Cars: A Data Set Generation Strategy for U-net based Autonomous Driving Hiroki Hiraoka, Atsushi Imiya (Chiba Univ.) PRMU2019-38 |
The deep convolutional neural networks (DCNNs)
require data to supervise the network structures.
A semi-automatic da... [more] |
PRMU2019-38 pp.35-40 |
EA, ASJ-H |
2016-08-10 10:00 |
Miyagi |
Tohoku Gakuin Univ., Tagajo Campus (Miyagi) |
The Methods to Denoize the Fetal Heart Doppler Sound Obtained by Ultrasound Cardiograph Using Wavelet Analysis Chikahiro Araki (Univ. of Fukui), Mikio Mori, Tatsuya Asai, Chiyo Tamamura, Nozomu Takahashi, Kouji Nishijima, Yoshio Yoshida (niv. of Fukui) |
The technique of analyzing Fetal Heart Rate (FHR) variability has been known to be effective to diagnose the fetal healt... [more] |
EA2016-25 pp.31-36 |
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