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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MSS, CAS, IPSJ-AL [detail] | 2023-11-17 14:45 |
Okinawa | Construction of criminal models using kernel density estimation Kenta Sakakura, Eiji Konaka (Meijo Univ.)  CAS2023-80 MSS2023-50 |
Since the 2000s, security systems using autonomous mobile vehicles have begun to be put into practical use, and automati... [more] | CAS2023-80 MSS2023-50 pp.107-112 |
|
| RISING (3rd) |
2023-10-31 13:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
A study of distribution estimation using short interval data with same frequency interference in 5G Taiga Kawaguchi, Osamu Takyu (Shinshu Univ) |
In this study, the cumulative probability distribution (CDF) of PUSCH (Physical Uplink Shared Channel) Throughput, a low... [more] | |
| ITS | 2021-07-02 13:05 |
Online | Online | Error Reduction Method employing Dither Method with Interfering Signals for Distance Estimation Technique Seiya Horiuchi, Hiroyuki Hatano, Kosuke Sanada, Kazuo Mori (Mie Univ.), Takaya Yamazato (Nagoya Univ.), Shintaro Arai (Okayama Univ. of Science), Masato Saito (Univ. of the Ryukyus), Yukihiro Tadokoro, Hiroya Tanaka (Toyota CRDL) ITS2021-1 |
In positioning systems, the Received Signal Strength Indicator (RSSI) is actively used to measure between user’s device ... [more] | ITS2021-1 pp.1-6 |
| AI | 2021-02-12 15:10 |
Online | Online | Applying kernel density estimation to time series data using asymmetric kernel function So Fukai, Keisuke Yamazaki, Yoichi Motomura (AIST) AI2020-33 |
This study proposes several asymmetric kernel functions and their availability of applying to time series data. The kern... [more] | AI2020-33 pp.56-59 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 14:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Typicality evaluation of food-type specific presentation Masamu Nakamura, Yasutomo Kawanishi (Nagoya Univ.), Keisuke Doman (Chukyou Univ.), Takatsugu Hirayama, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2019-49 IE2019-131 MVE2019-70 |
We propose a method to evaluate the typicality of a food presentation within its food-type for supporting cooking recipe... [more] | IMQ2019-49 IE2019-131 MVE2019-70 pp.171-176 |
| RCS, SR, SRW (Joint) |
2019-03-08 09:50 |
Kanagawa | YRP | A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel Yafei Hou (Okayama Univ.), Kazuto Yano (ATR), Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR) SR2018-137 |
For improving the spectrum efficiency (SE), one of efficient methods is allocating multiple bands for simultaneous wirel... [more] | SR2018-137 pp.89-96 |
| IBISML | 2019-03-06 11:30 |
Tokyo | RIKEN AIP | Optimal Kernel for Mode Estimation via Kernel Density Estimation Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-113 |
We have derived kernel functions that minimize the asymptotic mean squared error of the mode estimate, which is defined ... [more] | IBISML2018-113 pp.59-64 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning Keisuke Horiuchi, Keisuke Kameyama (Tsukuba Univ.) IBISML2018-45 |
CNNs have shown state-of-the-art performances on a large variety of classification tasks. However, because of its comple... [more] | IBISML2018-45 pp.9-15 |
| 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 | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Efficient modal regression using gradient ascent and descent method Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2017-57 |
Nonparametric modal regression is a method for regression analysis, which can estimate local maxima of the conditional p... [more] | IBISML2017-57 pp.169-176 |
| AI | 2015-12-18 11:00 |
Okinawa | Complaint Data Analysis to Estimate Issue Resolution Date Yuta Sano, Kohei Yamaguchi, Tsunenori Mine (Kyushu Univ.) AI2015-31 |
Recently, there has been growing Government 2.0 movement which means local problems reported by citizens are published o... [more] | AI2015-31 pp.31-36 |
|
| PRMU, CNR | 2014-02-13 16:10 |
Fukuoka | [Poster Presentation]
Background Modeling using Exponentially Weighted Histogram Tsubasa Minematsu, Masaki Igarashi, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2013-142 CNR2013-50 |
In this paper, we propose a nonparametric background modeling for background subtraction using exponentially weighted hi... [more] | PRMU2013-142 CNR2013-50 pp.99-100 |
|
| PRMU | 2013-12-12 11:10 |
Mie | A study on the number of clusters approximating stroke density distribution in the evaluation of intrapersonal variations and interpersonal differences concerning handwritten shapes based on Earth Mover's Distance
-- A study on Japanese Hiragana handwritings -- Yoshinori Akao, Atsushi Yamamoto, Yoshiyasu Higashikawa (NRIPS) PRMU2013-72 |
In this paper, we studied on the number of clusters required for approximating stroke density distribution in the evalua... [more] | PRMU2013-72 pp.23-28 |
|
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Computationally Efficient Estimation of Squared-loss Mutual Information with Multiplicative Kernel Models Tomoya Sakai, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-53 |
emph{Squared-loss mutual information} (SMI) is a robust measure of statistical dependence between random variables. The... [more] |
IBISML2013-53 pp.131-137 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Distributional Statistics Estimation via Kernel Mean Embeddings
-- Density Function, Credible interval, and Moment Estimation -- Motonobu Kanagawa (SOKENDAI), Kenji Fukumizu (ISM) IBISML2013-55 |
The RKHS embedding approach for nonparametric statistical inference, in which probability distributions are represented ... [more] | IBISML2013-55 pp.147-154 |
| PRMU | 2013-02-21 14:00 |
Osaka | High-dimensional non-parametric probability density estimation using self organizing incremental neural network Hiroshi Takahashi, Yoshihiro Nakamura, Osamu Hasegawa (Titech) PRMU2012-139 |
Kernel Density Estimation has problems with high-dimensional and mass data, for example, accuracy and calculation amount... [more] | PRMU2012-139 pp.55-60 |
|
| PRMU | 2013-02-21 15:00 |
Osaka | Fast online multivariate non-parametric density estimation under noisy environment Yoshihiro Nakamura, Hiroshi Takahashi, Osamu Hasegawa (Titech) PRMU2012-141 |
Recently, with the development of network and sensors technology, a huge number of data are generating continuously in r... [more] | PRMU2012-141 pp.67-72 |
|
| MI | 2013-01-25 15:15 |
Okinawa | Bunka Tenbusu Kan | Construction of probability model for radiologists' detection failures in a routine reading environment Yukihiro Nomura, Yoshitaka Masutani, Mitsutaka Nemoto, Shouhei Hanaoka, Soichiro Miki, Takeharu Yoshikawa, Naoto Hayashi, Kuni Ohtomo (The Univ. of Tokyo) MI2012-121 |
In order to realize CAD display interfaces based on radiologists' reading characteristics, it is important to construct ... [more] | MI2012-121 pp.305-310 |
| IBISML | 2012-06-20 10:30 |
Kyoto | Campus plaza Kyoto | Density Difference Estimation Masashi Sugiyama (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Taiji Suzuki (Univ. of Tokyo), Marthinus Christoffel du Plessis, Song Liu (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-8 |
We address the problem of estimating the difference between two probability densities. A naive approach is a two-ste... [more] |
IBISML2012-8 pp.49-56 |
| IN, IA (Joint) |
2011-12-15 12:45 |
Hiroshima | Hiroshima City University | A study on the maintainability for telecommunication networks
-- Improvement of kernel density using lognormal distribution -- Hiroyuki Funakoshi, Yasuto Nakanishi (NTT) IN2011-107 |
The authors have been established the reliability evaluation methods using actual outage data of telecommunication netwo... [more] | IN2011-107 pp.1-6 |
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