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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
13:55
Okinawa
(Primary: On-site, Secondary: Online)
Feature selection in prediction model by LiNGAM
Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) NC2022-17 IBISML2022-17
To improve the accuracy of machine learning models, it is important to perform feature engineering based on the features... [more] NC2022-17 IBISML2022-17
pp.123-128
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-03
14:40
Online Online Semantic and Quantitative Explanation for Networks using Feature Interaction
Bohui Xia, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2020-35 IE2020-75 MVE2020-67
Deep learning-based methods have shown remarkable performances in many tasks. However, it is hard for us to interpret th... [more] IMQ2020-35 IE2020-75 MVE2020-67
pp.127-132
HCS, HIP, HI-SIGCE [detail] 2018-05-22
13:50
Okinawa Okinawa Industry Support Center HCS2018-25 HIP2018-25 The facial attractiveness was hypothesized to change depending on camera angle. The present research examined the facial... [more] HCS2018-25 HIP2018-25
pp.161-164
PRMU, IE, MI, SIP 2017-05-26
11:00
Aichi   Interaction Analysis based on Non-Verbal Features
Nuo Zhang, Tomotake Kozu (Tohmatsu) SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22
Communication between humans, including words, facial expressions, gestures and postures, is a very complicated process.... [more] SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22
pp.113-117
VLD, CPSY, RECONF, IPSJ-SLDM, IPSJ-ARC [detail] 2016-01-21
09:25
Kanagawa Hiyoshi Campus, Keio University Discussion on FPGA implementation of real-time human detection using FIND features
Yoshiki Hayashida, Masahito Oishi, Ryo Fujita, Yuichiro Shibata, Kiyoshi Oguri (Nagasaki Univ.) VLD2015-99 CPSY2015-131 RECONF2015-81
In this paper, we discuss FPGA implementation of image-based human
detection using the feature interaction descriptor ... [more]
VLD2015-99 CPSY2015-131 RECONF2015-81
pp.173-178
TL 2014-06-21
16:30
Tokyo WASEDA University Toward Automatic Extraction of Characteristic Features of English Composition by Japanese College Students -- Preliminary Experiments and Issues to be Addressed --
Hiroaki Yamada, Yutaka Ishii, Yasunari Harada (Waseda Univ.) TL2014-10
We are accumulating electronic files of English composition by university freshmen. For the past ten years or so, about ... [more] TL2014-10
pp.55-60
PRMU 2013-06-10
16:00
Tokyo   Document Image Tracking using Layout Feature
Atsunori Moteki, Genta Suzuki, Taichi Murase, Takahiro Matsuda (Fujitsu Labs.) PRMU2013-23
We propose a tracking method that is suitable for Augmented Reality-based interfaces, which enable interaction between a... [more] PRMU2013-23
pp.23-28
MBE 2012-05-25
11:45
Toyama   Effect of Orientation Selectivity Features on the Face Recognition Characteristics of AEH Model
Tatsuya Ojio, Hironobu Takano, Kiyomi Nakamura (Toyama Pref. Univ.) MBE2012-4
The face recognition process was investigated using an association cortex - entorhinal cortex - hippocampal formation (... [more] MBE2012-4
pp.17-22
IBISML 2012-03-13
16:30
Tokyo The Institute of Statistical Mathematics Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-107
Feature selection is a technique to screen out less important features.
Many existing supervised feature selection alg... [more]
IBISML2011-107
pp.139-146
MoNA, IN
(Joint)
2011-11-17
11:45
Fukuoka   Functional Decomposition of Smart Shadow Platform to Provide Real-world Services in Cloud Computing Environments
Takashi Kambayashi, Kenji Umakoshi, Manabu Yoshida, Michiharu Takemoto (NTT) IN2011-96
We have been developing a service platform - Smart Shadow platform -, which provides users with real-world services. Sma... [more] IN2011-96
pp.19-24
CPSY 2011-10-21
16:10
Hyogo   Redefining Environment Feature Interactions in Home Network System Based on Nature of Environmental Impacts
Kousuke Ikegami, Takuya Inada, Shinsuke Matsumoto, Masahide Nakamura (Kobe Univ.) CPSY2011-37
The integrated services of the home network system (HNS)
orchestrate multiple networked home appliances to
achieve v... [more]
CPSY2011-37
pp.67-72
IN 2011-04-22
11:45
Kagawa Kagawa University Performance Evaluation of Smart Shadow Platform to Provide Real-world Services
Takashi Kambayashi, Kenji Umakoshi, Manabu Yoshida, Michiharu Takemoto (NTT) IN2011-16
We have been developing Smart Shadow platform, which provides users with real-world services. Smart Shadow platform is a... [more] IN2011-16
pp.85-90
HIP 2011-02-22
14:40
Okinawa Okinawa International Univ. Control of IT device using hand posture estimation in image sequence
Satoru Odo (Okinawa International Univ.) HIP2010-93
In this study, we investigate the construction of a pointing device that does not impart a feeling of restraint or awkwa... [more] HIP2010-93
pp.75-79
IN, MoNA
(Joint)
2010-11-18
11:10
Fukuoka Fukuoka Institute of Technology Area of effect and compromising techniques to improve availability of services in a home network environment
Marios Sioutis, Takashi Okada (JAIST), Junya Nakata (NICT), Junsoo Kim, Azman Osman Lim, Yasuo Tan (JAIST) IN2010-82
Services in the home network environment may conflict over the use of resources, such as electric and electronic equipme... [more] IN2010-82
pp.7-11
AI, SC 2010-08-23
13:15
Tokyo NII A Study for Detecting Feature Interactions between Sensor Driven Integrated Services
Takuya Inada, Kousuke Ikegami, Shinsuke Matsumoto, Masahide Nakamura (Kobe univ), Hiroshi Igaki (Tokyo Univ. of Tech.) AI2010-15
As one of the major Home Network System, the integrated service of networked home appliances are
widely developed. When... [more]
AI2010-15
pp.31-36
IN 2009-12-10
15:45
Hyogo KOBE UNIVERSITY Detecting Environment Feature Interactions in Home Network System Based on Service Requirements
Kousuke Ikegami, Hiroshi Igaki, Masahide Nakamura (Kobe Univ.) IN2009-96
The integrated services of the home network system (HNS)
orchestrate multiple networked home appliances to
achieve ... [more]
IN2009-96
pp.53-58
LOIS 2009-03-05
10:50
Okinawa Okinawa-seinen-kaikan Considering Online Feature Interactions Duration and Resolution for Integrated Service in Home Network System
Kousuke Ikegami, Yuhei Yoshimura, Hiroshi Igaki, Masahide Nakamura (Kobe Univ.) OIS2008-76
The integrated services of the home network system
orchestrate multiple networked home appliances to
achieve value... [more]
OIS2008-76
pp.7-12
SIP, RCS 2009-01-22
16:00
Kumamoto Kumamoto University Analysis of Multi-fractal Surfaces generated as the Result of Interactions among Agents placed on Two-dimensional Lattices and their Applications
Yoshikazu Ikeda (the Univ. of Kitakyushu), Shozo Tokinaga (Kyushu Univ.) SIP2008-143 RCS2008-191
This report deals with the analysis of multi-fractal surfaces generated as the result of interactions among agents place... [more] SIP2008-143 RCS2008-191
pp.113-118
DC 2008-10-20
15:25
Tokyo National Center of Sciences Feature Interaction Verification Using Model Checking with Interpolation
Takafumi Matsuo, Tatsuhiro Tsuchiya, Tohru Kikuno (Osaka Univ.) DC2008-26
Recently SAT-based verification has attracted attention as a powerful
approach. In this paper, we propose a method for ... [more]
DC2008-26
pp.23-28
NC 2008-07-15
13:10
Kyoto Kyoto Univ. (Yoshida campus) Possible inhibitory interaction between feature maps in visual search selection
Yuta Senzai, Tadashi Ogawa (Kyoto Univ.) NC2008-32
An object differing from its surrounding objects in basic feature dimensions is salient and automatically draws our atte... [more] NC2008-32
pp.1-6
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