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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2023-05-23
11:40
Kanagawa Information Technology R & D Center, MITSUBISHI Electric Corp.
(Primary: On-site, Secondary: Online)
NDVI prediction with SAR data using time series features
Raiki Kudo (UTokyo), Seiseke Fukuda (JAXA) SANE2023-7
The Normalized Difference Vegetation Index (NDVI) is used to determine the growth of crops, the condition of cultivated ... [more] SANE2023-7
pp.36-41
R 2021-07-17
14:25
Online Virtual Refined Ensemble Learning Algorithms for Software Bug Prediction -- Metaheuristic Approach --
Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-19
In this paper, we propose to apply three metaheuristic algorithms; latin hypercube sampling, ABC (artificial
bee colon... [more]
R2021-19
pp.18-23
ICSS, IPSJ-SPT 2021-03-02
11:05
Online Online Accuracy evaluation of CNNs and random forests with Malware API call sequences
Shugo Asai, Futa Yuichi (TUT) ICSS2020-58
In this paper, we compare the accuracy of the results of classifying each malware family by Random Forest and CNN using ... [more] ICSS2020-58
pp.190-194
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-19
16:50
Online Online [Special Talk] Improving Efficiency of Hammering Inspection of Subway Tunnels based on Analyzing Inspection Data
Motoki Oyama, Yuki Wakuda, Maiku Abe (Hokkaido Univ.), Yukihiro Ishikawa, Yuki Enokidani, Daisuke Tanaka, Hideaki Yamaguchi (Tokyo Metro)
In this study, we aimed at optimizing the operation of the upper floor hammering sound inspection of the subway tunnel, ... [more]
MICT, MI 2020-11-04
15:00
Online Online Frequency Analysis of Bio-vibration Data based on Difference of Results Learned by Random Forests between SAS/non-SAS Subjects
Iko Nakari, Keiki Takadama (UEC) MICT2020-17 MI2020-43
This paper described a frequency analysis of bio-vibration data obtained from mat sensor with sleep apnea syndrome (SAS... [more] MICT2020-17 MI2020-43
pp.48-53
VLD, HWS
(Joint)
2018-02-28
09:55
Okinawa Okinawa Seinen Kaikan On Memory Size Reduction of Programmable Hardware for Random Forest based Network Intrusion Detection
Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-90
In our previous research, we proposed dedicated programmable hardware of random forest based NIDSs. In this research, we... [more] VLD2017-90
pp.7-12
SIS 2017-12-15
14:00
Tottori Tottori Prefectural Center for Lifelong Learning A Study on Hand Gesture Recognition and Tracking using Random Forest and Median Flow
Satoshi Murashige, Takanori Koga (NIT, Tokuyama Col.) SIS2017-56
Recently, many interactive art works have been produced using a projector-camera system. To exhibit table-top type works... [more] SIS2017-56
pp.129-134
SIP, CAS, MSS, VLD 2017-06-19
11:40
Niigata Niigata University, Ikarashi Campus An Implementation Method of Reconfigurable Network Intrusion Detection Systems Based on Random Forests
Binbin Xue, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7
In this paper, we propose an implementation method of reconfigurable network intrusion detection system based on random ... [more] CAS2017-7 VLD2017-10 SIP2017-31 MSS2017-7
pp.37-42
SIS 2017-06-01
15:00
Oita Housen-Sou (Beppu) A Fundamental Study on Hand Gesture Recognition in Infrared Image Using Co-occurrence Histograms of Oriented Gradients and Random Forests
Satoshi Murashige, Takanori Koga (NIT, Tokuyama Col.) SIS2017-9
Recently, many interactive art works have been produced using a projector-camera system. In the case of using table-top ... [more] SIS2017-9
pp.47-50
PRMU, BioX 2017-03-21
14:35
Aichi   Noise Detection of Regression Forests with AutoEncoder
Masaya Hibino (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2016-68 PRMU2016-231
(To be available after the conference date) [more] BioX2016-68 PRMU2016-231
pp.209-214
SP, IPSJ-SLP, NLC, IPSJ-NL
(Joint) [detail]
2016-12-22
09:30
Tokyo NTT Musashino R&D AI-based Japanese Short-answer Scoring and Support System
Tsunenori Ishioka, Masayuki Kameda (NCUEE), Dongyue Louis Liu (GRI) NLC2016-36
We have developed an automated Japanese short-answer scoring and support machine for new National Center Test written ex... [more] NLC2016-36
pp.87-92
PRMU, SP, WIT, ASJ-H 2016-06-13
14:30
Tokyo   A Method for Adding Classification Classes in Random Forests
Ryota Ozaki, Yukihiro Tsuboshita, Noriji Kato (Fuji Xerox) PRMU2016-42 SP2016-8 WIT2016-8
In estimating classes using Random Forests, it is necessary to re-create decision trees with the data of all classes whe... [more] PRMU2016-42 SP2016-8 WIT2016-8
pp.41-45
PRMU, BioX 2016-03-25
15:45
Tokyo   Efficient Mondrian Forests by Introducing Supervised Learning
Ryuei Murata (Chubu Univ.), Akisato Kimura, Yoshitaka Ushiku (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2015-73 PRMU2015-196
Mondrian Forests is an online learning method based on framework of Random Forests. At the online learning, Mondrian For... [more] BioX2015-73 PRMU2015-196
pp.191-196
MI 2016-01-20
09:44
Okinawa Bunka Tenbusu Kan Automatic Polyp Detection from Endoscope Image Using Likelihood Map Based on Edge Information
Hiroaki Hagi, Yuji Iwahori (Chubu Univ.), Kunio Kasugai (Aichi Med. Univ.) MI2015-113
An endoscope is a medical instrument that acquires images inside the human body.
This paper proposes a new approach f... [more]
MI2015-113
pp.193-198
PRMU, IBISML, IPSJ-CVIM [detail] 2015-09-15
11:45
Ehime   [Short Paper] Transfer Learning to Avoid Negative Transfer Focusing on Tree Sturucture
Kenta Nishiyuki (Megachips), Hironobu Fujiyoshi (Chubu Univ.) PRMU2015-84 IBISML2015-44
(To be available after the conference date) [more] PRMU2015-84 IBISML2015-44
pp.127-128
PRMU, BioX 2015-03-20
14:00
Kanagawa   Training of Random Forests Using Covariate Shift on Parallel Distributed Processing
Ryoji Wakayama (Chubu Univ.), Akisato Kimura (NTT), Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) BioX2014-73 PRMU2014-193
Machine learning with big data improves a classification performance but increases computatinal cost for learning. Paral... [more] BioX2014-73 PRMU2014-193
pp.205-210
NLP 2013-07-09
15:20
Okinawa Miyako Island Marine Terminal Lossless Image Data Compression Based on Regression Trees
Manabu Kobayashi (Shonan Inst. of Tech.), Shigeichi Hirasawa (Waseda Univ.) NLP2013-47
It is well known that the random forests proposed by L. Breiman in 2001 achieve the high accuracy for classification pro... [more] NLP2013-47
pp.117-122
PRMU 2013-02-21
16:10
Osaka   [Poster Presentation] Estimation of Camera Yaw angle by Regression Forests using Multiple Paths
Ryoji Wakayama, Hironobu Fujiyoshi (Chubu Univ.) PRMU2012-151
In this paper, we propose a method for estimating camera yaw-angle, which is required for motion stereo, using regressio... [more] PRMU2012-151
pp.111-112
MBE, NC
(Joint)
2012-03-16
13:20
Tokyo Tamagawa University Prediction for irregular pupil light responses to chromatic stimuli using features of waveform shape
Minoru Nakayama (Tokyo Tech.), Wioletta Nowak (WUT), Hitoshi Ishikawa, Ken Asakawa, Yoshiaki Ichibe (Kitasato Univ.) MBE2011-140
This report determine a possibility of classification for Pupil Light
Response (PLR) with Age-Related Macular Degenerat... [more]
MBE2011-140
pp.175-180
PRMU, SP 2012-02-09
16:30
Miyagi   [Poster Presentation] Improving Random Forests by Introducing of Distribution Between
Yohei Mishina, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.) PRMU2011-210 SP2011-125
(To be available after the conference date) [more] PRMU2011-210 SP2011-125
pp.121-122
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