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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 48  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2023-12-07
14:40
Tokyo Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online)
Optimal CBM policy for a degrading system with two weighted components
Shinji Kawano, Nobuyuki Tamura (Hosei Univ.) R2023-51
We consider a system in which the degradation of two components follows a Wiener process with different drifts, and a fa... [more] R2023-51
pp.6-11
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-27
17:50
Okinawa
(Primary: On-site, Secondary: Online)
Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models
Takashi Takekawa (Kogakuin Univ.) NC2022-9 IBISML2022-9
Mixture models for multivariate normal distributions (GMM) are widely used for data clustering. To compensate for the s... [more] NC2022-9 IBISML2022-9
pp.76-79
IE 2022-01-24
12:40
Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)
Acceleration of Bilateral Filter by Approximating Gaussian Weight Calculation
Fumiya Kojima (NITech), Yoshihiro Maeda (TUS), Norishige Fukushima (NITech) IE2021-33
Bilateral filter is a typical edge-preserving smoothing filter that uses a Gaussian distribution.The Gaussian distributi... [more] IE2021-33
pp.33-38
IT 2021-07-09
14:30
Online Online Construction of Dimension Reduction Matrix for Signal Recovery of Multivariate Gaussian Vectors
Kento Yokoyama, Tadashi Wadayama, Satoshi Takabe (NIT) IT2021-26
In compressed sensing, we discuss the problem of estimating the sparse original signal $¥bm{x} ¥in ¥mathbb{R}^n$ from th... [more] IT2021-26
pp.63-68
AP 2020-02-21
11:25
Shizuoka Shizuoka Univ. Hamamatsu Campus Random Walk and Wave Propagation
Yoshio Karasawa AP2019-190
While doing a random walk, we visit some basic probability distributions that appear in radio wave propagation models. R... [more] AP2019-190
pp.53-57
R 2019-12-13
14:25
Tokyo Kikai-Shinko-Kaikan Bldg. Statistical method of estimating the date when school lunch caused mass food poisoning was supplied
Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2019-51
We focus on estimating the date when school lunch caused mass food poisoning was supplied. In the literature, a log-norm... [more] R2019-51
pp.7-12
EA, ASJ-H 2018-08-23
15:10
Miyagi Tohoku Gakuin Univ. Investigation of abnormal sound detectionusing occurrence probability of regularsound based on Gaussian Mixture Model
Koji Abe, Moeko Hara, Shouichi Takane, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2018-34
In most abnormal sound detection systems, abnormal sounds are defined in advance and abnormal sounds are detected by mat... [more] EA2018-34
pp.37-44
EA 2018-02-15
16:15
Hiroshima Pref. Univ. Hiroshima [Invited Talk] Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties -- My forty-year history at a slow pace --
Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] EA2017-96
p.19
MBE, NC
(Joint)
2017-12-16
13:25
Aichi Nagoya University Extraction of Color Regions on a Color Glove Using Gaussian Mixture Model Estimation
Noriaki Fujishima, Shun Nishikori (NIT, Matsue College) MBE2017-59
In this study, the authors have researched the extraction accuracy of color regions using Gaussian Mixture Model Estimat... [more] MBE2017-59
pp.35-38
PRMU, IE, MI, SIP 2017-05-26
12:00
Aichi   Background Modeling based on Gaussian Mixture Model using Spatial Features
Kan Zheng, Toshio Kondo, Yuki Fukazawa, Takahiro Sasaki (Mie Univ.) SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
Many methods for detecting a moving object from surveillance video using a background model have been proposed. Mixed Ga... [more] SIP2017-24 IE2017-24 PRMU2017-24 MI2017-24
pp.125-130
EA, EMM 2016-11-18
15:10
Oita Compal Hall (Oita) State Estimation Based on Bayes' Theorem for Sound Environment System with Quantized Observation -- Introduction of Particle Filter --
Akira Ikuta, Hisako Orimoto, Gerard Gallagher (Prefectural Univ. Hiroshima) EA2016-66 EMM2016-72
In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable... [more] EA2016-66 EMM2016-72
pp.107-112
US 2016-08-25
15:30
Tokyo Tokyo Institute of Technology, Ookayama Campus Statistical analysis of transient noise observed at Hashirimizu Port in Yokosuka
Keiichi Shikata, Kazuyoshi Mori, Hanako Ogasawara (NDA) US2016-41
In coastal water, ambient noise is dominated by snapping shrimp, and it is necessary to know its characteristics to desi... [more] US2016-41
pp.19-22
EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2016-07-15
13:00
Yamaguchi   Efficient Discrete Gaussian Sampling on Constrained Devices
Yuki Tanaka, Isamu Teranishi, Kazuhiko Minematsu (NEC), Yoshinori Aono (NICT) ISEC2016-32 SITE2016-26 ICSS2016-32 EMM2016-40
Lattice-based cryptography has been attracted by features of simple-implementation, quantum-resilient, and high-level fu... [more] ISEC2016-32 SITE2016-26 ICSS2016-32 EMM2016-40
pp.169-175
IE 2016-07-01
16:15
Okinawa   Automatic Generation of Pencil-like Rough Sketchy Image in Consideration of Omitting Details and Repeating Fluctuated Strokes
Kozi Matsumoto, Hiromi Yoshida, Yozi Iiguni (Osaka Univ) IE2016-46
Recently, various NPR (Non-Photorealistic Rendering) systems were proposed. They can save employment cost and time for d... [more] IE2016-46
pp.61-66
AP 2016-02-19
10:55
Fukushima Iwaki (Spa Resort Hawaiians) A Method of Realizing Gaussian Angular Power Spectra in Elevation Using a Three-Dimensional Fading Emulator
Kazuhiro Honda, Toshihiko Kabeya, Kento Karitani, Kun Li, Koichi Ogawa (Toyama Univ.), Yoshio Koyanagi, Hiroshi Sato, Ritsu Miura (Panasonic) AP2015-197
This paper presents a method of realizing a Gaussian propagation environment in the elevation direction using a 3D fadin... [more] AP2015-197
pp.37-42
PRMU 2015-12-22
09:00
Nagano   Video Semantic Indexing Using Vocabulary Expansion Based on Word Vectors
Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2015-105
(To be available after the conference date) [more] PRMU2015-105
pp.75-80
IE, CS, IPSJ-AVM, ITE-BCT [detail] 2015-12-04
10:35
Hyogo   Multiple Temporal Resolution Imaging for High Quality - High Dynamic Range Video Reconstruction
Hidenori Tabata, Takayuki Hamamoto (TUS) CS2015-70 IE2015-95
In this paper, we propose a multiple temporal resolution imaging for high quality-high dynamic rage (HDR) video reconstr... [more] CS2015-70 IE2015-95
pp.93-97
PRMU, CNR 2015-02-20
11:40
Miyagi   Discrimination between CG and Natural Images with Generalized Gaussian Distribution and Noise Analysis
Atsushi Morinaga, Kenji Hara, Kohei Inoue, Kiichi Urahama (Kyushu Univ.) PRMU2014-146 CNR2014-61
Discrimination methods between CG and natural images are mainly divided into two categories: wavelet statistics based an... [more] PRMU2014-146 CNR2014-61
pp.165-170
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] The method of clustering data on polar codinates
Yuji Fujjiwara (INCT), Kazuhisa Fujita (INCT/UEC) IBISML2014-74
Clustering is used for various data analysis, for example, data mining, image processing and so on. Many methods of clus... [more] IBISML2014-74
pp.293-297
RCS 2014-06-18
10:53
Okinawa Okinawa-ken Seinenkaikan (Naha) The Secret Key Capacity of Secret Key Agreement Scheme Using Multiple-Antenna
Naoki Iwamoto, Hideichi Sasaoka, Hisato Iwai (Doshisha Univ) RCS2014-70
This paper deals with the secret key capacity of secret key agreement scheme using multiple antennas. It is assumed that... [more] RCS2014-70
pp.219-224
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