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在“
Elsevier电子期刊
”中,
命中:
248
条,耗时:0.0579725 秒
在所有数据库中总计命中:
477
条
1.
Body part boosting model for carried baggage detection and
classification
作者:
Wahyono
wahyono@islab.ulsan.ac.kr
Author Vitae
;
Joko Hariyono
joko@islab.ulsan.ac.kr
Author Vitae
;
Kang-Hyun Jo
;
acejo@ulsan.ac.kr
Author Vitae
关键词:
Carrying baggage detection and
classification
;
Part model
;
Body part-baggage spatial model
;
Video surveillance
;
Scalable histogram of
oriented
gradient
;
Parallelogram Haar-like feature
;
Support vector machine
;
Mixture model
;
Boosting machine
刊名:Neurocomputing
出版年:2017
2.
Locality sensitive discriminant matrixized learning machine
作者:
Zhe Wang
;
a
;
b
;
wangzhe@ecust.edu.cn
;
Guowei Zhang
a
;
Dongdong Li
a
;
Yujin Zhu
a
;
Chenjie Cao
a
关键词:
Locality sensitive discriminant
;
Regularization term learning
;
Matrix-pattern-
oriented
classifier
;
Ho-Kashyap algorithm
;
Pattern recognition
刊名:Knowledge-Based Systems
出版年:2017
3.
A survey of trust computation models for service management in internet of things systems
作者:
Jia Guo
a
;
jiaguo@vt.edu
;
Ing-Ray Chen
a
;
irchen@vt.edu
;
Jeffrey J.P. Tsai
b
;
jjptsai@gmail.com
关键词:
Internet of things
;
Service-
oriented
computing
;
Service management
;
Trust
;
Classification
刊名:Computer Communications
出版年:2017
4.
A research on the cutting database system based on machining features and TOPSIS
作者:
Chong Peng
a
;
pch@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Hanheng Du
a
;
duhanheng@163.com" class="auth_mail" title="E-mail the corresponding author
;
T. Warren Liao
b
;
ieliao@lsu.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Machining features
;
TOPSIS
;
Cutting parameters
;
Panel part
;
Database system
刊名:Robotics and Computer-Integrated Manufacturing
出版年:2017
5.
Object
-
oriented
approach to oil spill detection using ENVISAT ASAR images
作者:
M. Konik
a
;
b
;
mk@iopan.gda.pl" class="auth_mail" title="E-mail the corresponding author
;
K. Bradtke
b
;
ocekb@ug.edu.pl" class="auth_mail" title="E-mail the corresponding author
关键词:
Remote sensing
;
ASAR
;
Oil spills detection
;
Object
-
oriented
classification
刊名:ISPRS Journal of Photogrammetry and Remote Sensing
出版年:2016
6.
Simulation of Detecting Function
object
for AGV Using Computer Vision with Neural Network
作者:
Jittima Varagul
a
;
nb15504@shibaura-it.ac.jp" class="auth_mail" title="E-mail the corresponding author
;
Toshio Ito
b
;
关键词:
AGV
;
object
detection
;
object
classification
;
time delay neural network
;
image sequence
刊名:Procedia Computer Science
出版年:2016
7.
A multi-
object
ive genetic optimization of interpretability-
oriented
fuzzy rule-based classifiers
作者:
Filip Rudziński
;
f.rudzinski@tu.kielce.pl" class="auth_mail" title="E-mail the corresponding author
关键词:
Accuracy and interpretability of fuzzy rule-based systems
;
Multi-
object
ive genetic optimization
;
Evolutionary computations
;
Fuzzy systems
刊名:Applied Soft Computing
出版年:2016
8.
Object
-
oriented
persistent homology
作者:
Bao Wang
a
;
Guo-Wei Wei
b
;
1
;
wei@math.msu.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Computational topology
;
Variation
;
Laplace&ndash
;
Beltrami flow
;
Protein
;
Fullerene
;
Total curvature energy
刊名:Journal of Computational Physics
出版年:2016
9.
Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest
作者:
Iurii Shendryk
a
;
iurii.shendryk@unsw.edu.au
;
Mark Broich
a
;
Mirela G. Tulbure
a
;
Andrew McGrath
b
;
David Keith
c
;
d
;
Sergey V. Alexandrov
e
关键词:
Tree health
;
Airborne laser scanning
;
Imaging spectroscopy
;
Random forest
;
Object
-
oriented
classification
;
Australia
;
Flooding frequency
;
River red gum
;
Dieback
;
Eucalypt
;
Individual trees
刊名:Remote Sensing of Environment
出版年:2016
10.
Using remote sensing in support of environmental management: A framework for selecting products, algorithms and methods
作者:
Helen M. de Klerk
a
;
hdeklerk@sun.ac.za" class="auth_mail" title="E-mail the corresponding author
;
Jason Gilbertson
a
;
Melanie Lü
;
ck-Vogel
b
;
Jaco Kemp
a
;
Zahn Munch
a
关键词:
Environmental management mapping
;
Remote sensing
;
Probability map
;
Knersvlakte
;
Object
-
oriented
classification
刊名:Journal of Environmental Management
出版年:2016
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