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在“
Elsevier电子期刊
”中,
命中:
258
条,耗时:0.1369351 秒
在所有数据库中总计命中:
439
条
1.
Lip segmentation based on Lambertian shadings and morphological operators for
hyper
-
spectral
images
作者:
Alessandro Danielis
a
;
alessandro.danielis@isti.cnr.it
;
danielis.alessandro@gmail.com
Author Vitae
;
Daniela Giorgi
a
Author Vitae
;
Marcus Larsson
b
Author Vitae
;
Tomas Strö
;
mberg
b
Author Vitae
;
Sara Colantonio
a
Author Vitae
;
Ovidio Salvetti
a
Author Vitae
关键词:
Lip spatial pattern
;
Segmentation
;
Blood concentration map
;
Hyper
-
spectral
;
Lambertian shading
;
Morphological
;
Fourier descriptors
刊名:Pattern Recognition
出版年:2017
2.
Automated structural health monitoring based on adaptive kernel
spectral
clustering
作者:
Rocco Langone
a
;
rocco.langone@esat.kuleuven.be
;
Edwin Reynders
b
;
Siamak Mehrkanoon
a
;
Johan A.K. Suykens
a
关键词:
Structural health monitoring
;
Data
normalization
;
Novelty detection
;
Bridge engineering
;
Adaptive kernel
spectral
clustering
刊名:Mechanical Systems and Signal Processing
出版年:2017
3.
Single-particle
spectral
function of the Λ
hyper
on in finite nuclei
作者:
Isaac Vidañ
;
a
ividana@fis.uc.pt
关键词:
Hyper
nuclei
;
YN interaction
;
G-matrix
;
Self-energy
;
Spectral
function
;
Correlations
刊名:Nuclear Physics A
出版年:2017
4.
Adaptive stellar
spectral
subclass classification based on Bayesian SVMs
作者:
Changde Du
a
;
b
;
Ali Luo
;
a
;
lal@bao.ac.cn" class="auth_mail" title="E-mail the corresponding author
;
lal@nao.cas.cn" class="auth_mail" title="E-mail the corresponding author
;
Haifeng Yang
a
;
b
;
c
关键词:
Stellar
spectral
classification
;
Bayesian support vector machines
;
MCMC
;
Data
-driven
刊名:New Astronomy
出版年:2017
5.
A maximum margin and minimum volume
hyper
-spheres machine with pinball loss for imbalanced
data
classification
作者:
Yitian Xu
;
xytshuxue@126.com" class="auth_mail" title="E-mail the corresponding author
;
Zhiji Yang
;
Yuqun Zhang
;
Xianli Pan
;
Laisheng Wang
关键词:
Pinball loss
;
Maximum margin
;
Minimum volume
;
Imbalanced
data
classification
;
Hyper
-sphere
刊名:Knowledge-Based Systems
出版年:2016
6.
Self-organizing maps and Gestalt organization as components of an advanced system for remotely sensed
data
: An example with thermal
hyper
-spectra
作者:
Eckart Michaelsen
;
eckart.michaelsen@iosb.fraunhofer.de" class="auth_mail" title="E-mail the corresponding author
;
exemichaelsen@aol.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Hyperspectral
data
;
Thermal spectra
;
Self-organizing maps
;
Unsupervised learning
;
Gestalt grouping
刊名:Pattern Recognition Letters
出版年:2016
7.
A highly reliable and super-speed optical fiber transmission for
hyper
-
spectral
SCMOS camera
作者:
Jin Li
;
664910699@qq.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Optical fiber transmission
;
Hyper
-
spectral
SCMOS camera
;
Multi-channel fiber link
刊名:Optik - International Journal for Light and Electron Optics
出版年:2016
8.
Multiscale quantification of urban composition from EO-1/
Hyper
ion
data
using object-based
spectral
unmixing
作者:
Caiyun Zhang
;
czhang3@fau.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Object-based MESMA
;
EO-1/
Hyper
ion
;
Multiscale quantification
;
Urban composition
刊名:International Journal of Applied Earth Observation and Geoinformation
出版年:2016
9.
The use of airborne
hyperspectral
data
for tree species classification in a species-rich Central European forest area
作者:
Ronny Richter
a
;
b
;
c
;
ronny.richter@uni-leipzig.de" class="auth_mail" title="E-mail the corresponding author
;
Bjö
;
rn Reu
a
;
e
;
Christian Wirth
a
;
d
;
Daniel Doktor
b
;
Michael Vohland
c
;
d
关键词:
Tree species classification
;
Hyperspectral
data
;
PLS-DA
;
SVM
;
RF
;
Sample selection
;
Spectral
variable selection
;
CARS
刊名:International Journal of Applied Earth Observation and Geoinformation
出版年:2016
10.
Classification of river water pollution using
Hyper
ion
data
作者:
Soumyashree Kar
a
;
karsoumya23@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
V.S. Rathore
a
;
vsrathore@bitmesra.ac.in" class="auth_mail" title="E-mail the corresponding author
;
P.K. Champati ray
b
;
champati_ray@iirs.gov.in" class="auth_mail" title="E-mail the corresponding author
;
Richa Sharma
b
;
richa@iirs.gov.in" class="auth_mail" title="E-mail the corresponding author
;
S.K. Swain
c
;
sanjayarkl@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Hyperspectral
remote sensing
;
Spectral
band depth analysis
;
Image classification
;
Image spectra
;
River water
;
Metal pollutants
刊名:Journal of Hydrology
出版年:2016
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