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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-28
13:30
Okinawa
(Primary: On-site, Secondary: Online)
Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification
U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba) NC2022-16 IBISML2022-16
Hundreds of contiguous bands of remotely sensed hyperspectral image (HSI) capture the spectral signatures of observed ob... [more] NC2022-16 IBISML2022-16
pp.115-122
PRMU, IBISML, IPSJ-CVIM [detail] 2017-09-15
10:00
Tokyo   Quantum-Inspired Regression Forest
Zeke Xie, Issei Sato (UTokyo) PRMU2017-40 IBISML2017-12
We propose a Quantum-Inspired Subspace(QIS) Ensemble Method for generating feature ensembles based on feature selections... [more] PRMU2017-40 IBISML2017-12
pp.7-17
BioX 2016-08-18
16:40
Miyagi   Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device
Yuji Watanabe, Sara San (Nagoya City Univ.) BioX2016-12
In our previous study, we collected gait data using an Android application when 8 subjects walked in the following 5 wal... [more] BioX2016-12
pp.27-32
IBISML 2013-03-05
11:25
Aichi Nagoya Institute of Technology Elimination of redundant features by Kernel Methods and Random Matrix Theory
Hideko Kawakubo, Hiroaki Yoshida (Ochanomizu Univ) IBISML2012-102
Feature selection can be used to detect factors that affect a certain phenomenon. If the subset of the selected factors ... [more] IBISML2012-102
pp.69-76
PRMU, FM 2010-12-10
09:30
Yamaguchi   Classifier-Independent Feature Selection for Large-Scale Data
Shingo Yanagihori, Mineichi Kudo (Hokkaido Univ.) PRMU2010-139
In this study, we attempt to perform classifier-independent feature selection (CIFS) for large-scale data such as text c... [more] PRMU2010-139
pp.73-78
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-05
17:30
Fukuoka Fukuoka Univ. A Study on Feature Selection Path for High-Dimensional Local Classifiers
Ichiro Takeuchi (NIT) PRMU2010-71 IBISML2010-43
We study feature selection and weighting problems for local-based classifier. The proposed algorithm is formulated as a ... [more] PRMU2010-71 IBISML2010-43
pp.105-112
MBE, NC
(Joint)
2005-12-09
15:20
Aichi   Splitting the feature subset selection of multiclass support vector machines
Xin Hu, Mauricio Kugler (NIT), Anto Satriyo Nugroho (Chukyo Univ.), Susumu Kuroyanagi, Akira Iwata (NIT)
One drawback on the use of Support Vector Machines (SVM) in real
applications is its slow classification speed, proport... [more]
NC2005-86
pp.31-36
 Results 1 - 7 of 7  /   
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