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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 112  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-29
16:25
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Minorization-Maximization for Determinantal Point Processes
Takahiro Kawashima (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2023-7 IBISML2023-7
A determinantal point process (DPP) is a powerful probabilistic model that generates diverse random subsets from a groun... [more] NC2023-7 IBISML2023-7
pp.39-47
R 2023-05-27
15:50
Aichi Aichi University
(Primary: On-site, Secondary: Online)
R2023-6 In the parameter estimation of non-homogeneous Poisson processes by means of
the maximum likelihood method, the genera... [more]
R2023-6
pp.27-32
RCS, IN, NV
(Joint)
2023-05-25
11:55
Kanagawa Keio University (Hiyoshi Campus), and online
(Primary: On-site, Secondary: Online)
Blind Active User Detection for Grant-Free Access in the Presence of Timing Offsets
Takanori Hara (Tokyo Univ. of Science) RCS2023-18
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] RCS2023-18
pp.23-28
RCS, NS
(Joint)
2022-12-15
16:35
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Blind Multiple Measurement Vector Approximate Message Passing for Grant-Free Access
Takanori Hara (Tokyo Univ. of Science), Koji Ishibashi (The Univ. of Electro-Communications) RCS2022-197
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] RCS2022-197
pp.63-68
SIP 2022-08-25
16:30
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
[Invited Talk] Approximate Message Passing for Efficient Grant-Free Access
Takanori Hara (Tokyo Univ. of Science) SIP2022-59
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access has gained much attention.... [more] SIP2022-59
pp.50-55
RCS 2021-06-25
13:10
Online Online Multiple Measurement Vector Approximate Message Passing Without Prior Information of Channels for Grant-Free Non-Orthogonal Multiple Access
Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2021-71
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] RCS2021-71
pp.243-248
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:00
Online Online Scene Recognition of Omni-Directional Images by Patch-Based CNN
Takumi Hatogai, Takao Yamanaka (Sophia Univ.) PRMU2021-3
In this paper, a scene recognition method for omni-directional images is proposed using patch-based convolutional neural... [more] PRMU2021-3
pp.13-18
RCS, SR, SRW
(Joint)
2021-03-05
16:30
Online Online [Invited Lecture] A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks
Yoshito Watanabe, Yozo Shoji (NICT) SR2020-88
This study proposes a framework to detect hazardous spots on roads by combining mobile sensing on commercial-use vehicle... [more] SR2020-88
pp.91-98
IBISML 2020-03-10
13:00
Kyoto Kyoto University
(Cancelled but technical report was issued)
EM Algorithm for Mixture Models in Shape Analysis
Kazunori Iwata (Hiroshima City Univ.) IBISML2019-33
The mixture model is a well-known probabilistic model in statistical modeling to express a population that is composed o... [more] IBISML2019-33
pp.1-7
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Improvement of a gallbladder segmentation algorithm from a contrast enhanced abdominal CT volume -- Improvement of an EM algorithm for parameter estimation --
Tomomi Yamanaka, Atsushi Saito (TUAT), Sigeru Nawano (IUHW), Junji Ueno (Kitajima Taoka Hospital), Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT) MI2019-112
(To be available after the conference date) [more] MI2019-112
pp.201-202
RCS, SAT
(Joint)
2019-08-22
09:00
Aichi Nagoya University Signal Detection Schemes based on Multiuser Detection for Downlink MIMO-NOMA Systems
Takayuki Okawa, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech.) RCS2019-146
For the next generation mobile communication, a combination of MIMO and NOMA is referred to as MIMO-NOMA and has been in... [more] RCS2019-146
pp.1-6
ITS 2019-07-05
13:55
Tokyo Kikai-Shinko-Kaikan Bldg. Travel Time and Flow Estimation for Multiple Routes based on EM Algorithm -- Multiple Route Travel Time and Flow Estimation --
Seiya Torimaru, Takayoshi Yokota (Tottori Univ.) ITS2019-3
This paper describes a method for estimating multiple routes travel time
and traffic volumes by using EM algorithm.
... [more]
ITS2019-3
pp.13-20
IN, NS
(Joint)
2019-03-04
11:10
Okinawa Okinawa Convention Center A proposal of mobile crowdsensing application using blockchain technology
Akihiro Fujihara (CIT) IN2018-96
Mobile crowdsensing is a method to collectively gather and share
local data with the help of a large number of anonymo... [more]
IN2018-96
pp.73-78
SR 2019-01-24
15:20
Fukushima Corasse, Fukushima city (Fukushima prefecture) An Error Correction Technique with the Viterbi Algorithm for a Machine-Learning-Based Classifier
Yoshito Watanabe, Yozo Shoji (NICT) SR2018-105
This paper proposes a novel technique to correct errors that can be caused in the decisions made by a machine learning (... [more] SR2018-105
pp.57-61
MI 2019-01-22
13:20
Okinawa   [Short Paper] Improvement of a gallbladder segmentation algorithm from a contrast enhanced CT volume
Tomomi Yamanaka, Atsushi Saito (TUAT), Sigeru Nawano (IUHW), Junji Ueno, Masafumi Harada (Tokushima Univ.), Akinobu Shimizu (TUAT) MI2018-67
(To be available after the conference date) [more] MI2018-67
pp.35-36
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy
Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio) IBISML2018-48
A logistic regression mixture model (LRMM) is a mixed model of the Logistic regression model, and it is widely used in t... [more] IBISML2018-48
pp.29-36
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Development of the topology-preserving image alignment based on a local deformation of kernel density function
Masataka Watajima (KIT), Sayuri Kuge, Takeshi Ishihara (KU), Yuichi Iino (UT), Ryo Yoshida (ISM), Terumasa Tokunaga (KIT) IBISML2018-55
Image alignment or image registration is a process for aligning two or more images into a common coordinate system. Many... [more] IBISML2018-55
pp.83-90
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Regularized Modal Regression via Iteratively Reweighted Least-Squares
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-88
In modal regression, iterative methods that are based on the modal EM (MEM) and those based on the iteratively reweighte... [more] IBISML2018-88
pp.329-335
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Classification Algorithms for Generalized Label Noise Model with Unknown Parameter
Tota Suko, Goki Yasuda, Shunsuke Horii, Manabu Kobayashi (Waseda Univ) IBISML2018-92
In classification problem, there is a case where noise is added to the label. The generalized label noise model is a mod... [more] IBISML2018-92
pp.361-366
SANE 2018-05-14
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis
Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6
In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-M... [more] SANE2018-6
pp.29-34
 Results 1 - 20 of 112  /  [Next]  
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