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CNKI期刊论文0611(3)
在“
Elsevier电子期刊
”中,
命中:
119
条,耗时:小于0.01 秒
在所有数据库中总计命中:
1,532
条
1.
Multiple density maps information fusion for effectively assessing intensity pattern of lifelogging physical activity
作者:
Jun Qi
;
j.qi@2015.ljmu.ac.uk
Author Vitae
;
Po Yang
;
p.yang@ljmu.ac.uk
Author Vitae
;
Martin HanneghanAuthor Vitae
;
Stephen TangAuthor Vitae
关键词:
Physical activity
;
Lifelogging
;
Mobile device
;
Intensity pattern
;
Dempster-Shafer theory
;
Information fusion
刊名:Neurocomputing
出版年:2017
2.
Development of an
ellipse
fitting
method with which to analyse selected area electron diffraction patterns
作者:
D.R.G. Mitchell
a
;
dmitchel@uow.edu.au" class="auth_mail" title="E-mail the corresponding author
;
J.A. Van den Berg
a
;
b
关键词:
Electron diffraction
;
software analysis
;
Ellipse
fitting
;
Distortion
刊名:Ultramicroscopy
出版年:2016
3.
Automatic segmentation for cell images based on bottleneck detection and
ellipse
fitting
作者:
Miao Liao
a
Author Vitae
;
Yu-qian Zhao
a
;
b
;
zyq@csu.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Xiang-hua Li
c
Author Vitae
;
Pei-shan Dai
a
Author Vitae
;
Xiao-wen Xu
a
Author Vitae
;
Jun-kai Zhang
a
Author Vitae
;
Bei-ji Zou
b
Author Vitae
关键词:
Cell image segmentation
;
Bottleneck detection
;
Ellipse
fitting
;
Edge modification
;
Polygonal approximation
刊名:Neurocomputing
出版年:2016
4.
An automatic splitting method for the adhesive piglets’ gray scale image based on the
ellipse
shape feature
作者:
Mingzhou Lu
a
;
lmz@njau.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Yingjun Xiong
b
;
Kunquan Li
a
;
Longshen Liu
a
;
Li Yan
a
;
c
;
Yongqian Ding
a
;
Xiangze Lin
a
;
Xiaojing Yang
d
;
Mingxia Shen
a
关键词:
Adhesive piglets splitting
;
Piglets counting
;
Chain code
;
Concave point
;
Ellipse
fitting
刊名:Computers and Electronics in Agriculture
出版年:2016
5.
Parameter-free modelling of 2D shapes with
ellipse
s
作者:
Costas Panagiotakis
a
;
b
;
cpanag@staff.teicrete.gr" class="auth_mail" title="E-mail the corresponding author
;
Author Vitae
;
Antonis Argyros
b
;
1
;
argyros@ics.forth.gr" class="auth_mail" title="E-mail the corresponding author
;
Author Vitae
关键词:
Ellipse
s
fitting
;
Shape analysis
;
Shape complexity
;
Expectation-Maximisation
;
Model selection
;
AIC
;
BIC
刊名:Pattern Recognition
出版年:2016
6.
Unscented Transformation based estimation of parameters of nonlinear models using heteroscedastic data
作者:
Ehsan Dehghan Niri
a
Author Vitae
;
Tarunraj Singh
b
;
tsingh@buffalo.edu" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Parameter estimation
;
Model identification
;
Unscented Transformation
;
Ellipse
fitting
;
Super
ellipse
fitting
;
Heteroscedastic data
刊名:Pattern Recognition
出版年:2016
7.
Automatic detection of mounting behaviours among pigs using image analysis
作者:
Abozar Nasirahmadi
a
;
b
;
abozar.nasirahmadi@ncl.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
a.nasirahmadi@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Oliver Hensel
b
;
Sandra A. Edwards
a
;
Barbara Sturm
a
;
b
关键词:
Pig
;
Mounting behaviour
;
Image processing
;
Ellipse
fitting
刊名:Computers and Electronics in Agriculture
出版年:2016
8.
A multiscale algorithm for nuclei extraction in pap smear images
作者:
Dibet Garcia-Gonzalez
dibet@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
;
Miguel Garcia-Silvente
;
m.garcia-silvente@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
;
Eugenio Aguirre
eaguirre@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
关键词:
Biomedical imaging
;
Image segmentation
;
Multiresolution analysis
;
Ellipse
fitting
;
Cell screening
;
Classification algorithms
;
Cervical cancer diagnosis
刊名:Expert Systems with Applications
出版年:2016
9.
Experimental study of bubbly flow using image processing techniques
作者:
Yucheng Fu
ycfu@vt.edu
;
Yang Liu
;
liu130@vt.edu
关键词:
Bubbly flow
;
Image processing
;
Bubble number density
;
Interfacial area transport
刊名:Nuclear Engineering and Design
出版年:2016
10.
Some Aspects of Crystal Centering During X-ray High-throughput Protein Crystallography Experiment
作者:
Yu.A. Gaponov
a
;
yurii3000@gmail.com
;
N. Matsugaki
b
;
K. Sasajima
b
;
N. Igarashi
b
;
S. Wakatsuki
c
关键词:
X-ray crystallography
;
high-throughput protein crystallography
;
control system
;
SR
;
object detection and recognition
;
Linux
刊名:Physics Procedia
出版年:2016
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