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在“
Elsevier电子期刊
”中,
命中:
5,088
条,耗时:0.0119894 秒
在所有数据库中总计命中:
15,009
条
1.
Maximum-li
k
elihood approximate
nearest
neighbor
method in real-time image recognition
作者:
A.V. Savchen
k
o
avsavchen
k
o@hse.ru" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
AESA
;
Approximating and Eliminating Search Algorithm
;
ANN
;
approximate
nearest
neighbor
;
DEM
;
directed enumeration method
;
DNN
;
deep neural networ
k
;
HOG
;
histograms of oriented gradients
;
HT-PNN
;
homogeneity testing probabilistic neural networ
k
;
ML-ANN
;
maximal-li
k
elihood approximate
nearest
neighbor
;
NN
;
nearest
neighbor
;
P-ML-ANN
;
pivot-based maximal-li
k
elihood approximate
nearest
neighbor
;
SVM
;
support vector machine
刊名:Pattern Recognition
出版年:2017
2.
k
NN-IS: An Iterative Spar
k
-based design of the
k
-
Nearest
Neighbor
s classifier for big data
作者:
Jesus Maillo
;
a
;
jesusmh@decsai.ugr.es
;
Sergio Ramí
;
rez
a
;
sramirez@decsai.ugr.es
;
Isaac Triguero
c
;
d
;
e
;
Isaac.Triguero@nottingham.ac.u
k
;
Francisco Herrera
a
;
b
;
herrera@decsai.ugr.es
关键词:
K
-
nearest
neighbor
s
;
Big data
;
Apache Hadoop
;
Apache Spar
k
;
MapReduce
刊名:
K
nowledge-Based Systems
出版年:2017
3.
Privacy-preserving
nearest
neighbor
queries using geographical features of cellular networ
k
s
作者:
Mahdi Daghmehchi Firoozjaei
mdaghmechi@s
kk
u.edu
;
Jaegwan Yu
jaegwan@s
kk
u.edu
;
Hyoung
k
ee Choi
meosery@s
kk
u.edu
;
Hyoungshic
k
Kim
;
hyoung@s
kk
u.edu
关键词:
Location-based service (LBS)
;
Location privacy
;
Spatial cloa
k
ing
;
Dummy location
;
Nearest
neighbor
刊名:Computer Communications
出版年:2017
4.
A reusable and single-interactive model for secure approximate
k
-
nearest
neighbor
query in cloud
作者:
Yanguo Peng
a
;
jecopeng@outloo
k
.com
;
Jiangtao Cui
a
;
cuijt@xidian.edu.cn
;
Hui Li
;
b
;
hli@xidian.edu.cn
;
Jianfeng Ma
a
;
b
;
jfma@mail.xidian.edu.cn
关键词:
Secure approximate
k
-
nearest
neighbor
;
Comparable encryption
;
B++-tree
;
Refinements
刊名:Information Sciences
出版年:2017
5.
Control rod position reconstruction based on
K
-
Nearest
Neighbor
Method
作者:
Xingjie Peng
a
;
pengxingjiets@gmail.com
;
Yun Cai
a
;
b
;
Qing Li
a
;
K
an Wang
b
关键词:
Rod position monitoring
;
K
-
Nearest
Neighbor
classification
刊名:Annals of Nuclear Energy
出版年:2017
6.
A new
k
-harmonic
nearest
neighbor
classifier based on the multi-local means
作者:
Zhibin Pan
;
zbpan@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Yidi Wang
simel1993@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Weiping
K
u
wpin2010@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
Local mean
;
k
-
nearest
neighbor
;
Harmonic mean distance
;
Pattern classification
;
Small training sample size
刊名:Expert Systems with Applications
出版年:2017
7.
Adaptive edited natural
neighbor
algorithm
作者:
Lijun YangAuthor Vitae
;
Qingsheng Zhu
;
qszhu@cqu.edu.cn
Author Vitae
;
Jinlong HuangAuthor Vitae
;
Dongdong ChengAuthor Vitae
关键词:
Instance reduction
;
Natural
neighbor
;
K
-
nearest
neighbor
刊名:Neurocomputing
出版年:2017
8.
Anderson localization in one-dimensional quasiperiodic lattice models with
nearest
- and next-
nearest
-
neighbor
hopping
作者:
Longyan Gong
a
;
b
;
c
;
lygong@njupt.edu.cn
;
Yan Feng
a
;
b
;
Yougen Ding
a
;
b
关键词:
Anderson localization
;
Quasiperiodic lattice model
;
Shannon information entropy
刊名:Physics Letters A
出版年:2017
9.
Feature selection based on quality of information
作者:
Jinghua Liu
a
;
b
;
zzliujinghua@163.com
Author Vitae
;
Yaojin Lin
b
;
yjlin@mnnu.edu.cn
Author Vitae
;
Menglei Lin
b
;
menglei36@126.com
Author Vitae
;
Shunxiang Wu
a
;
sxwu@xmu.edu.cn
Author Vitae
;
Jia Zhang
b
;
zhangjia_gl@163.com
Author Vitae
关键词:
Feature selection
;
Information entropy
;
Maximum-
nearest
-
neighbor
;
Quality of information
刊名:Neurocomputing
出版年:2017
10.
Discriminative measures for comparison of phylogenetic trees
作者:
Omur Arslan
;
omur@seas.upenn.edu
;
Dan P. Guralni
k
guralni
k
@seas.upenn.edu
;
Daniel E.
K
oditsche
k
k
od@seas.upenn.edu
关键词:
Phylogenetic trees
;
Evolutionary trees
;
Nearest
Neighbor
Interchange
;
Comparison of classifications
;
Tree metric
刊名:Discrete Applied Mathematics
出版年:2017
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