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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP, ITE-HI, VRPSY [detail] 2023-02-22
15:35
Toyama
(Primary: On-site, Secondary: Online)
The relationship between the beauty of fractals and processing fluency -- Evidence from same-different response time and masking tasks --
Hayato Goto, Yousuke Kawachi (Tohoku Univ.) HIP2022-83
Recent studies have focused on self-similarity (fractal property) in images and processing fluency of images as possible... [more] HIP2022-83
pp.37-42
SIS 2021-03-04
10:20
Online Online Evaluation of Sound Field by Monofractal Dimension
Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-39
Environmental sound is composed of sounds generated from various sources. And, the sound pressure waveform is constantly... [more] SIS2020-39
pp.21-26
MI 2020-09-03
13:10
Online Online [Invited Talk] Manifold modeling in embedded space for image restoration
Tatsuya Yokota (Nitech) MI2020-27
In this invited talk, I will discuss convolutional neural networks, which have achieved remarkable results in various im... [more] MI2020-27
pp.43-44
IT 2017-07-14
10:00
Chiba Chiba University Asymptotic Tightness of The Shannon Lower Bound for R(D) -- Another Proof for Self-Similar Memoryless Source --
Shingo Taguchi, Tsutomu Kawabata (UEC) IT2017-27
Although the asymptotic properties of the Shannon lower bound for the rate-distortion function are well known for contin... [more] IT2017-27
pp.61-65
IT, ISEC, WBS 2016-03-10
10:40
Tokyo The University of Electro-Communications Redundancy of Bayesian Code with Markov Fractal Prior Distributions
Naoya Matsukami, Tsutomu Kawabata (UEC) IT2015-103 ISEC2015-62 WBS2015-86
Bayesian code method is used as a standard in realizing a universal noiseless source code. For a memoryless source, a mi... [more] IT2015-103 ISEC2015-62 WBS2015-86
pp.13-17
CQ 2014-07-10
13:05
Osaka   [Poster Presentation] Modeling of Fair Resource Sharing between MVNOs
Hu Rui, Wei Liu, Ryoichi Shinkuma, Tatsuro Takahashi (Kyoto Univ.) CQ2014-22
Mobile Virtual Network operators (MVNOs) are characterized as being mobile operators without their own infrastructure an... [more] CQ2014-22
pp.39-44
SIP, CAS, CS 2013-03-14
14:40
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Self-learning super resolution by L2-norm
Daiki Azuma (Keio Univ.), Kazu Mishiba (Tottori Univ.), Masaaki Ikehara (Keio Univ.) CAS2012-106 SIP2012-137 CS2012-112
In this paper, we propose a single image super resolution technique by L2 approximation without any training. Recently i... [more] CAS2012-106 SIP2012-137 CS2012-112
pp.57-61
PRMU, DE 2011-06-06
13:00
Kanagawa   Mining Self-Similarity for Near-Duplicate Video Retrieval
Zhipeng Wu, Kiyoharu Aizawa (Univ. of Tokyo) DE2011-5 PRMU2011-36
Nowadays, with the exponential growth of digital video sources such as video-sharing websites and online TV broadcasting... [more] DE2011-5 PRMU2011-36
pp.25-30
IPSJ-SLDM, SIP, IE, ICD [detail] 2010-10-05
15:15
Chiba Makuhari Messe, International Conference Hall [Invited Talk] Reconstruction-based Intra-Frame Super-resolution
Takashi Ida, Nobuyuki Matsumoto (Toshiba) SIP2010-59 ICD2010-73 IE2010-77
A reconstruction-based super-resolution method using a single frame is expounded. In the conventional methods, multiple ... [more] SIP2010-59 ICD2010-73 IE2010-77
pp.57-62
IE, IPSJ-AVM, CS, ITE-BCT 2007-12-14
15:30
Aichi Nagoya Univ. Reconstruction-based Super-resolution Using Self-congruency of Images
Takashi Ida, Nobuyuki Matsumoto, Kenzo Isogawa (Toshiba) CS2007-52 IE2007-135
A reconstruction-based super-resolution method applicable to a single image is proposed. In the conventional methods, mu... [more] CS2007-52 IE2007-135
pp.135-140
NS, ICM, CQ
(Joint)
2007-11-16
13:00
Fukuoka Institute of System LSI Design Industry, Fukuoka Performance Analysis of Wireless Multimedia Networks with ARQ Schemes
Shunfu Jin (Yanshan Univ.), Wuyi Yue (Konan Univ.), Naishuo Tian (Yanshan Univ.) NS2007-101
In this paper, we present a new method to analyze the performance of Automatic Repeat reQuest (ARQ) schemes in self-simi... [more] NS2007-101
pp.41-46
EA 2006-04-21
11:00
Tokyo Kikai-Shinko-Kaikan Bldg. Impulse response of the floor impact sound using self-similarity analysis
Tang Yong, Hideo Shibayama, Wakako Tanaka (S.I..C.)
The vibration is propagated to the downstairs room by the floor impact of the upstairs. The sound radiated in downstairs... [more] EA2006-2
pp.7-12
MVE, CQ, MoNA
(Joint)
2006-01-27
14:50
Oita Beppu Onsen Spring (Resorpia Beppu Hotel) Performance evaluation of path-set configuration scheme for delay jitter reduction by utilizing multipath
Takafumi Okuyama, Kenta Yasukawa, Katsunori Yamaoka (titech)
Delay jitter causes QoS degradation in delay sensitive real-time multimedia communications. We focused on delay jitter r... [more] MoMuC2005-83
pp.55-60
ICM, NS, CQ
(Joint)
2005-11-18
09:00
Shimane Kunibiki-messe (Matsue city) Traffic Characteristics of Assembled Burst Traffic for Optical Burst Switching Networks
Ping Du (Sokendai), Shunji Abe (NII)
Optical Burst Switching (OBS) has been proposed to be a promising
switching technology for the next optical transport n... [more]
NS2005-119
pp.47-50
SIP 2005-01-20
14:50
Aichi Nagoya Institute of Technology Verification and modeling of network traffic time series of self-similarity
Masahisa Nagahama, Kazuhito Kashiwakura, Kazuo Yana (Hosei Univ.)
In this research, the statistical character is clarified paying attention to the self-similarity of a series at the time... [more] SIP2004-107
pp.23-28
IN 2004-07-15
16:00
Hokkaido   [Invited Talk] Characteristics of IP Traffic and Capacity Planning in Backbone Networks
Shinichi Nomoto, Masaki Fukushima, Hiroki Furuya, Hajime Nakamura (KDDI Labs.)
The paper discusses a series of studies, by the authors, on characteristics of communication traffic over INTERNET backb... [more] IN2004-33
pp.39-42
 Results 1 - 16 of 16  /   
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