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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP 2022-08-25
14:15
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(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
(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   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 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
CAS 2013-01-29
16:45
Oita Beppu International Convention Center Phoneme preprocessing circuit of Sound recognition system
Keita Okamoto, Yuichi Ogishima, Hakaru Tamukoh, Masatoshi Sekine (TUAT) CAS2012-92
The human audition can quickly estimate direction of sound and realize speech recognition under the noisy environment. I... [more] CAS2012-92
pp.143-148
NLP 2011-05-27
14:05
Kagawa Olive park olive memorial hall Evaluation and Improvement of Circuit Analysis Method using Haar Wavelet
Seiichiro Moro, Tatsuyuki Shoji (Univ. of Fukui) NLP2011-19
Recently, much attention have been paid to the methods for circuit analysis using wavelet transform. In particular, we h... [more] NLP2011-19
pp.89-93
NLC, SP
(Joint) [detail]
2010-12-21
11:30
Tokyo National Olympics Memorial Youth Center Voice Recognition Method Based on Features of Consonant Using Pipelined Matching Circuit
Jun Nonaka, Keita Okamoto, Hakaru Tamukoh, Masatoshi Sekine (Tokyo Univ. of Agr and Tech.) NLC2010-22 SP2010-95
The human audition extracts voice characteristics from the sounds flowing into two ears. The recognition circuit of the ... [more] NLC2010-22 SP2010-95
pp.83-88
CAS 2010-01-28
13:50
Kyoto Kyoudai-Kaikan Bldg. Tree Structured SOM Hardware by using hw/sw Complex
Shuta Saito, Hakaru Tamukoh, Yuuichi Kobayashi, Masatoshi Sekine (Tokyo University of Agr and Tech.) CAS2009-66
Self-Organizing Map (SOM) is a neural network to get a statistical nature of multidimensional input data by self-organiz... [more] CAS2009-66
pp.13-18
PRMU 2009-02-20
11:45
Tokyo Univ. of Tokyo (IIS) Automatic Object Extraction Using Graph Cuts with Visual Attention Cues
Tatsuya Fujisaki (UEC), Seiki Inoue (NHK) PRMU2008-232
It is desirable for object extraction to be automated, accurate and versatile.
There are two types of methods for objec... [more]
PRMU2008-232
pp.145-150
MBE 2009-01-23
15:25
Saga Saga University Study on multiresolution analysis of ultrasonic echo image using spin wavelet and its application to PDA viewer system
Kazuhiko Hamamoto (Tokai Univ.) MBE2008-80
Medical Ultrasonic image is constructed from ultrasonic pulse waves which travel in human body. Therefore, when frequenc... [more] MBE2008-80
pp.19-22
NLP 2008-12-10
16:55
Ishikawa   Adaptive Choice of Resolution in a Method for Circuit Analysis using Haar Wavelet Transform
Masanori Oishi, Seiichiro Moro (Univ. of Fukui), Tadashi Matsumoto (Fukui Univ. of Tech.) NLP2008-92
In this paper, we propose a method for the circuit analysis using wavelet transform with adaptive resolutions. Recently,... [more] NLP2008-92
pp.119-124
SIS 2008-12-05
14:00
Osaka Kansai Univ. Analysis of EEG during Motor Imagery and Cognition based on Morphological Multiresolution Analysis
Tomonari Yamaguchi, Mitsuhiko Fujio, Katsuhiro Inoue (Kyushu Institute of Technology)
It is known that EEG wave changes according to the mental activity such as imagination, cognition, etc.
These changes (... [more]
SIS2008-64
pp.125-130
PRMU 2007-12-13
11:00
Hyogo Kobe Univ. Graph Cuts Using Local Texture Feature Quantity of the Wavelet Coefficient for Image Segmentation
Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2007-138
This paper proposes an approach to image segmentation using Graph Cuts based on local texturefeatures of wavelet coeffic... [more] PRMU2007-138
pp.19-24
 Results 1 - 13 of 13  /   
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