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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SR 2024-05-21
10:45
Kagoshima Yokacenter (Kagoshima)
(Primary: On-site, Secondary: Online)
[Short Paper] A Study on Low-Complexity Simulation Framework for Large-Scale Channel Knowledge Maps with Spatial Correlation
Koya Sato, Katsuya Suto (UEC) SR2024-14
(To be available after the conference date) [more] SR2024-14
pp.61-63
NLP, MSS 2023-03-15
16:15
Nagasaki
(Primary: On-site, Secondary: Online)
Correlation dimensions of EEG time series characterizing sleep stages in mice
Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2022-77 NLP2022-122
In this study, we estimate the embedding dimension, which is necessary for embedding EEG time series of mouse sleep into... [more] MSS2022-77 NLP2022-122
pp.75-80
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
14:40
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Note on Eye Gaze Based User-specific Interest Estimation for Images -- Estimation Performance Improvement Based on sMVCCA including Ordinal Label Dequantization --
Masanao Matsumoto (Hokkaido Univ.), Naoki Saito (NIT, Kushiro College), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents supervised multiview canonical correlation analysis via ordinal label dequantization (sMVCCA-OLD) fo... [more]
SIS 2019-03-06
14:00
Tokyo Tokyo Univ. Science, Katsushika Campus The study of the Fractal Dimension and Autocorrelation of Environmental Sound Wave
Yoshiaki Makabe, Tomoaki Kimura (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology) SIS2018-40
Our study is developing new method for evaluating environmental sound. It uses the self similarity of sound wave and is ... [more] SIS2018-40
pp.17-22
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
11:30
Hokkaido Hokkaido Univ. Accuracy Improvement of Preference Estimation for Video Using SFEM-GS
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we present two kinds of canonical correlation analysis methods, supervised fractional-order embedding mul... [more]
CS 2009-01-22
11:25
Okinawa Iriomote Island, Okinawa A CFAR Circuit of Detecting Spatially Correlated Target for Automotive UWB Radars
Satoshi Takahashi (Hiroshima City Univ.) CS2008-62
Future high-resolution short-range automotive radar encounters a higherfalse alarm probability than the conventional low... [more] CS2008-62
pp.31-36
MBE 2008-09-25
10:20
Nagano Faculty of Engineering, Shinshu University Fractal analyses of the Physiological signals with intake of meals
Yuki Ebina, Masahiro Nakagawa (Nagaoka Univ. Tech.) MBE2008-36
It is considered that the detection of the states of vehicle driver is considerably important subject for the driving sa... [more] MBE2008-36
pp.53-58
SP
Toyama Toyama Prefectural University Automatic estimation of the vowel correction priority for language learners based on the structural representation of pronunciation
Kei Kamata, Satoshi Asakawa, Nobuaki Minematsu (Univ. of Tokyo), Takehiko Makino (Chuo Univ.), Keikichi Hirose (Univ. of Tokyo) SP2007-36
Speech communication induces inevitable variations of speech acoustics due to differences in speakers, microphones, etc.... [more] SP2007-36
pp.73-78
NLP 2006-06-23
13:00
Tokyo Chuo Univ. Analysis of individual variations of human random generations using deviation of neighboring numbers and correlation dimensions
Masashi Mishima, Mieko Tanaka-Yamawaki (Tottori Univ.)
It is known that human generated random numbers exhibit characteristic features dependent on the condition and individua... [more] NLP2006-14
pp.19-23
CAS, NLP 2005-09-16
11:50
Niigata Nagaoka Univ. of Technology Chaos and fractals analyses to the environmental loads dependence of fish movements
Masahiro Noguchi, Masahiro Nakagawa (Nagaoka Univ. of Tech.)
It is well known that the physiological activity does complex behavior, and chaos and fractals analyses are considerably... [more] CAS2005-39 NLP2005-52
pp.31-36
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