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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 35  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2024-01-18
11:45
Miyagi
(Primary: On-site, Secondary: Online)
A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model
Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.) IT2023-34 SIP2023-67 RCS2023-209
Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] IT2023-34 SIP2023-67 RCS2023-209
pp.25-30
RCS, SIP, IT 2022-01-20
17:20
Online Online A Study on AoA Estimation-Aided Bayesian Receiver Design via Bilinear Inference for mmWave Large MIMO
Kenta Ito, Takumi Takahashi, Koji Igarashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) IT2021-58 SIP2021-66 RCS2021-226
We propose a novel joint channel and data estimation (JCDE) scheme for mmWave large multi-user multi-input multi-output ... [more] IT2021-58 SIP2021-66 RCS2021-226
pp.167-172
AP 2021-10-07
13:00
Online Online [Poster Presentation] Far field estimation from a single hemispherical near field amplitude by the PR method using an appropriate initial phase information
Yusuke Mitsui, Hiroyuki Arai (Yokohama National Univ.) AP2021-79
The characteristics of an antenna are determined by the far field and several kinds of the near field to far field trans... [more] AP2021-79
pp.49-50
AP 2019-12-12
13:40
Tokyo Kikai-Shinko-Kaikan Bldg. A Consideration on a Reception of Electromagnetic Wave Signals at the Sea Level in the Shallow Sea Area
Nozomu Ishii (Niigata Univ.), Masaharu Takahashi, Ryosuke Kato (Chiba Univ.), Qiang Chen (Tohoku Univ.), Hiroshi Yoshida (JAMSTEC) AP2019-143
In order to estimate the position of a diver in a submarine search at the time of a flood accident in shallow water, we ... [more] AP2019-143
pp.7-12
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
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
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo [Poster Presentation] Empirical Bayesian Tree
Masashi Sekino (SMN) IBISML2017-39
We propose a new decision tree learning algorithm ``Empirical Bayesian Tree (EBT)'', which models the outputs of a leaf ... [more] IBISML2017-39
pp.31-38
BioX 2017-10-13
09:00
Okinawa Nobumoto Ohama Memorial Hall A Study of Parameter Estimation of False Accept Rate for Biometric Performance Evaluation
Shigefumi Yamada, Takahiro Aoki, Takashi Shinzaki (FUJITSU LABS.) BioX2017-31
Evaluations of biometric performance are performed by using biometric dataset actually collected from subjects being tes... [more] BioX2017-31
pp.33-37
IBISML 2016-11-17
14:00
Kyoto Kyoto Univ. Minimax optimal estimator for additively decomposable scalar functionals of discrete distributions
Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) IBISML2016-82
We deal with a problem of estimating additively decomposable scalar functionals from a set of $n$ iid samples drawn from... [more] IBISML2016-82
pp.259-265
BioX 2016-08-18
13:30
Miyagi   A Study of Estimation of False Accept Rate for Biometric Performance Evaluation
Shigefumi Yamada, Shinzaki Takashi (FUJITSU LAB.) BioX2016-7
Evaluations of biometric performance are performed by using biometric dataset actually collected from subjects being tes... [more] BioX2016-7
pp.1-5
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Learning Structure of Partial Markov Random Field via Partitioned Ratio
Song Liu (ISM), Taiji Suzuki (Tokyo Tech.), Masashi Sugiyama (UTokyo), Kenji Fukumizu (ISM) IBISML2015-72
A new concept, partitioned ratio is proposed to find the partial connectivity of the Markov random field. First we argue... [more] IBISML2015-72
pp.147-151
SANE 2015-11-23
14:50
Overseas AIT, Bangkok, Thailand Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing
Masanari Noto, Fang Shang, Shouhei Kidera, Tetsuo Kirimoto (UEC) SANE2015-54
Super-resolution time of arrival (TOA) estimation techniques are strongly demanded for general radar system. As one of t... [more] SANE2015-54
pp.27-32
COMP 2014-10-08
13:30
Tokyo Chuo University [Invited Talk] Statistical Maximum and Minimum Operations for Gaussian Mixture Model and Their Applications
Shuji Tsukiyama (Chuo Univ.) COMP2014-28
Due to the progress of micro-technology, process variability is increasing in not only inter-die but also intra-die, and... [more] COMP2014-28
pp.17-18
MBE, NC
(Joint)
2014-07-26
16:35
Okayama Okayama University Estimating the number of clusters for spherical clustering
Kazuhisa Fujita (Tsuyama NCT/ UEC) NC2014-20
Estimation of the number of clusters is an important issue on data clustering. The one of the major methods to estimate ... [more] NC2014-20
pp.21-26
IN, NS, CS
(Joint)
2012-09-20
11:00
Miyagi Tohoku Univ. Research Institute of Electrical Communication 2gokan EDA-based Charging Algorithm for Plug-in Hybrid Electric Vehicle to shift the peak of power supply
Takashi Tazoe, Soushi Yamamoto, Harunaga Onda, Hidetoshi Takeshita, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) IN2012-54
This paper proposes a charging algorithm which is based on the Estimation of Distribution Algorithm (EDA) for Plug in Hy... [more] IN2012-54
pp.29-32
NC 2012-07-31
11:35
Shiga Ritsumeikan Univ. College of Information Science and Engineering A Biological Implementation of Bayesian Estimation Algorithm in a Neural Network Architecture Based on Discrete Choice Theory
Daiki Futagi, Ryota Kobayashi, Katsunori Kitano (Ritsumeikan Univ) NC2012-28
Bayesian estimation theory has been expected to explain how brain deals with uncertainty such as feature extraction agai... [more] NC2012-28
pp.77-82
NC, IPSJ-BIO 2012-06-28
13:25
Okinawa OIST, Okinawa An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology
Satoshi Kozawa (NAIST), Yuichi Sakumura (Aichi Prefectural Univ.), Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda (NAIST) NC2012-8
Traction Force Microscopy (TFM) is a method for estimating forces on a cell by measuring the variations
of beads locate... [more]
NC2012-8
pp.43-46
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
Song Liu, Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-70
The objective of change-point detection is to discover abrupt property changes lying behind time series data. In this pa... [more] IBISML2011-70
pp.187-198
IBISML 2011-11-10
15:45
Nara Nara Womens Univ. Nonparametric Estimation of Mixture Model and Minimum Divergence Methods
Kazuho Watanabe (NAIST), Shiro Ikeda (ISM) IBISML2011-78
We discuss a nonparametric estimation method of the mixing distribution in mixture models.
We propose an objective fun... [more]
IBISML2011-78
pp.243-249
NC 2011-07-26
09:30
Hyogo Graduate School of Engineering, Kobe University Statistical estimation of non-uniform dendritic membrane properties
Toshiaki Omori (Univ. of Tokyo/RIKEN), Toru Aonishi (Tokyo Tech.), Masato Okada (Univ. of Tokyo/RIKEN) NC2011-32
We propose a statistical algorithm for extracting non-uniform dendritic membrane properties from partially observable no... [more] NC2011-32
pp.65-70
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