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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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] 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
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
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
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Construction of Node-Permutation-Invariant Matrix Kernels based on a Linear-Algebraic Approach
Shunsuke Hirose (SAS Institute Japan) IBISML2012-69
This paper addresses the issue of constructing a kernel between matrices which are symmetric, have different dimensions,... [more] IBISML2012-69
pp.251-258
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
R 2010-05-28
14:45
Tottori   Software Failure Data Analysis with Kernel-based Approaches
Toshio Kaneishi, Tadashi Dohi (Hiroshima Univ.) R2010-12
The software failure data analysis is used for the reliability
assessment with the software fault information observed... [more]
R2010-12
pp.31-36
R 2009-07-31
15:10
Hokkaido   A study on software reliability assessment via bootstrap
Ryota Hakozaki, Tadashi Dohi (Hiroshima Univ.) R2009-28
In past a huge number of parametric software reliability models have been developed with
the aim of quantitative estim... [more]
R2009-28
pp.35-40
R 2009-06-19
14:55
Tokyo Kikai-Shinko-Kaikan Bldg. A study on Non-parametric Estimation of Software Reliability
Shintaro Mizoguchi, Tadashi Dohi (Hiroshima Univ.) R2009-21
In past a huge number of parametric software reliability models have been developed with
the aim of quantitative estim... [more]
R2009-21
pp.23-28
ITE-BCT, IE, CS, IPSJ-AVM 2008-12-11
13:25
Aichi Nagoya University An Iterative Approach for 3-D Model Generation Using Disparity Maps
Mehrdad Panahpour Tehrani, Akio Ishikawa, Shigeyuki Sakazawa, Atsushi Koike (KDDI R&D Labs) CS2008-40 IE2008-104
In this research, we address the problem of 3-D model generation from disparity maps. Given an inaccurate 3-D model, den... [more] CS2008-40 IE2008-104
pp.7-10
PRMU, IE 2008-03-10
09:30
Ishikawa   Extraction of Object Regions Using Shape Map and Local Features
Koji Imaeda (Nagoya Univ.), Miyako Baba, Nobuyuki Shiraki, Akihiro Watanabe (Toyota Central R&D Labs.), Yasushi Hirano, Shoji Kajita, Kenji Mase (Nagoya Univ.) IE2007-265 PRMU2007-249
In this paper, a novel method for extraction of a precise object region from a given rough initial region is proposed. T... [more] IE2007-265 PRMU2007-249
pp.23-28
R 2005-05-27
14:55
Hyogo Kobe Gakuin Univ. Statistical Inspection Planning for a Weighting Apparatus
Koichiro Rinsaka, Tadashi Dohi (Hiroshima Univ.)
In this article, we propose statistical algorithms for estimating an economical inspection policy for weighting apparatu... [more] R2005-12
pp.25-30
 Results 1 - 15 of 15  /   
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