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在“
Elsevier电子期刊
”中,
命中:
235,198
条,耗时:0.2198953 秒
在所有数据库中总计命中:
285,826
条
1.
Effective pixel classification of Mars images based on ant colony optimization
feature
selection and extreme learning machine
作者:
Abdolreza Rashno
a
;
a.rashno@ec.iut.ac.ir
Author Vitae
;
Behzad Nazari
a
;
nazari@cc.iut.ac.ir
Author Vitae
;
Saeed Sadri
a
;
sadri@cc.iut.ac.ir
Author Vitae
;
Mohamad Saraee
b
;
m.saraee@salford.ac.uk
Author Vitae
关键词:
Pixel classification
;
Feature
selection
;
Ant colony optimization
;
Extreme learning machine
;
Wavelet
feature
s
;
Color
feature
s
刊名:Neurocomputing
出版年:2017
2.
How do temporal and spectral
feature
s matter in crop classification in Heilongjiang Province, China?
作者:
Qiong HU
a
;
huqiong02@caas.cn
;
Wen-bin WU
a
;
wuwenbin@caas.cn
;
Qian SONG
a
;
b
;
Miao LU
a
;
Di CHEN
a
;
Qiang-yi YU
a
;
Hua-jun TANG
a
;
tanghuajun@caas.cn
关键词:
crop identification
;
temporal
feature
;
spectral
feature
;
feature
selection
;
MODIS
刊名:Journal of Integrative Agriculture
出版年:2017
3.
G-MS2F: GoogLeNet based multi-stage
feature
fusion of deep CNN for scene recognition
作者:
Pengjie Tang
a
;
b
;
c
Author Vitae
;
Hanli Wang
a
;
b
;
hanliwang@tongji.edu.cn
Author Vitae
;
Sam Kwong
d
Author Vitae
关键词:
Scene recognition
;
Convolutional neural network
;
Multi-stage
feature
;
Feature
fusion
;
GoogLeNet
刊名:Neurocomputing
出版年:2017
4.
An enhanced trust prediction strategy for online social networks using probabilistic reputation
feature
s
作者:
Ebin Deni RajAuthor Vitae
;
L.D. Dhinesh Babu
;
lddhineshbabu@vit.ac.in
Author Vitae
关键词:
Online social networks
;
Reputation
feature
s
;
Probabilistic reputation
feature
s
;
Trust prediction
;
Social network analysis
;
Big data
刊名:Neurocomputing
出版年:2017
5.
RubE: Rule-based methods for extracting product
feature
s from online consumer reviews
作者:
Yin Kang
;
ky6@umbc.edu
Author Vitae
;
Lina Zhou
zhoul@umbc.edu
Author Vitae
关键词:
Product
feature
extraction
;
Rule-based method
;
Objective
feature
;
Indirect dependency relation
刊名:Information & Management
出版年:2017
6.
Fusing landmark-based
feature
s at kernel level for face recognition
作者:
Ke-Kun Huang
a
;
kkcocoon@163.com
Author Vitae
;
Dao-Qing Dai
b
;
stsddq@mail.sysu.edu.cn
Author Vitae
;
Chuan-Xian Ren
b
;
rchuanx@mail.sysu.edu.cn
Author Vitae
;
Yu-Feng Yu
b
;
yuyufeng220@163.com
Author Vitae
;
Zhao-Rong Lai
c
;
laizhr@mail2.sysu.edu.cn
Author Vitae
关键词:
Face recognition
;
Landmark-based
feature
;
Feature
fusion
;
Multi-kernel discriminant analysis
;
Face identification
;
Face verification
刊名:Pattern Recognition
出版年:2017
7.
Novel
feature
extraction technique for the recognition of handwritten digits
作者:
Abdelhak Boukharouba
a
;
boukharouba_abdelhak@hotmail.com
;
Abdelhak Bennia
b
关键词:
Feature
extraction
;
Feature
selection
;
Digit recognition
;
Support vector machine
刊名:Applied Computing and Informatics
出版年:2017
8.
A new optimal
feature
selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
作者:
Suhail Khokhar
a
;
b
;
suhail@quest.edu.pk
;
Abdullah Asuhaimi Mohd Zin
a
;
Aslam Pervez Memon
b
;
Ahmad Safawi Mokhtar
a
关键词:
Power quality disturbances
;
Feature
extraction
;
Optimal
feature
selection
;
Discrete wavelet transform
;
Artificial bee colony
;
Probabilistic neural network
刊名:Measurement
出版年:2017
9.
An enhancement deep
feature
fusion method for rotating machinery fault diagnosis
作者:
Haidong Shao
;
Hongkai Jiang
;
jianghk@nwpu.edu.cn
;
Fuan Wang
;
Huiwei Zhao
关键词:
Deep
feature
fusion
;
Feature
enhancement
;
Fault diagnosis
;
Rotating machinery
;
Locality preserving projection
刊名:Knowledge-Based Systems
出版年:2017
10.
Gene
tic programming for evolving figure-ground segmentors from multiple
feature
s
作者:
Yuyu Liang
;
yuyu.liang@ecs.vuw.ac.nz
;
Mengjie Zhang
;
Will N. Browne
关键词:
Figure-ground segmentation
;
Gene
tic programming
;
Intensity based
feature
s
;
Gabor
feature
s
刊名:Applied Soft Computing
出版年:2017
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