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内部出版物
Elsevier电子期刊(62436)
在“
Elsevier电子期刊
”中,
命中:
62,436
条,耗时:小于0.01 秒
在所有数据库中总计命中:
62,436
条
1.
Image Set
Representation
and Classification with Attributed Covariate-Relation Graph Model and Graph Sparse Representation Classification
作者:
Zhuqiang ChenAuthor Vitae
;
Bo Jiang
;
jiangbo@ahu.edu.cn
Author Vitae
;
Jin TangAuthor Vitae
;
Bin LuoAuthor Vitae
关键词:
Image set
representation
;
Classification
;
Attributed relation graph
;
Sparse
representation
classification
刊名:Neurocomputing
出版年:2017
2.
Efficient classification with sparsity augmented collaborative
representation
作者:
Naveed Akhtar
a
;
naveed.akhtar@research.uwa.edu.au
Author Vitae
;
Faisal Shafait
b
Author Vitae
;
Ajmal Mian
a
Author Vitae
关键词:
Multi-class classification
;
Sparse
representation
;
Collaborative
representation
刊名:Pattern Recognition
出版年:2017
3.
Image classification by search with explicitly and implicitly semantic
representation
s
作者:
Chunjie Zhang
a
;
b
;
zhangcj@ucas.ac.cn" class="auth_mail" title="E-mail the corresponding author
;
zhangchunjie1983@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Guibo Zhu
;
c
;
guibo.zhu@ia.ac.cn" class="auth_mail" title="E-mail the corresponding author
;
Qingming Huang
a
;
b
;
d
;
qmhuang@ucas.ac.cn" class="auth_mail" title="E-mail the corresponding author
;
Qi Tian
e
;
qitian@cs.utsa.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Explicit
representation
;
Implicit
representation
;
Semantic modeling
;
Image classification
刊名:Information Sciences
出版年:2017
4.
Maximal -distance sets containing the
representation
of the Hamming graph
作者:
Saori Adachi
a
;
k630945d@m2.aichi-c.ed.jp
;
Rina Hayashi
b
;
Hiroshi Nozaki
c
;
hnozaki@auecc.aichi-edu.ac.jp
;
Chika Yamamoto
d
关键词:
Hamming graph
;
Few-distance set
;
Euclidean
representation
;
Erdős&ndash
;
Ko&ndash
;
Rado theorem
刊名:Discrete Mathematics
出版年:2017
5.
Joint predictive model and
representation
learning for visual domain adaptation
作者:
Marzieh Gheisari
gheisari@ce.sharif.edu
;
Mahdieh Soleymani Baghshah
;
soleymani@sharif.edu
关键词:
Unsupervised domain adaptation
;
Predictive function
;
Shared subspace
;
Representation
learning
;
Image classification
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
6.
Graph-based discriminative concept factorization for data
representation
作者:
Huirong Li
a
;
b
;
Jiangshe Zhang
;
a
;
jszhang@mail.xjtu.edu.cn
;
Junying Hu
a
;
Chunxia Zhang
a
;
Junmin Liu
a
关键词:
Concept factorization
;
Semi-supervised learning
;
Data
representation
;
Label information
刊名:Knowledge-Based Systems
出版年:2017
7.
Square-integrability of metaplectic wave-packet
representation
s on
作者:
Arash Ghaani Farashahi
arash.ghaani.farashahi@univie.ac.at
ghaanifarashahi@hotmail.com
关键词:
Special linear group SL(2
;
R)SL(2
;
R)
;
Metaplectic operators
;
Metaplectic wave-packet group
;
Metaplectic wave-packet
representation
;
Metaplectic wave-packet transform
;
Wavelet (Gabor) transform
刊名:Journal of Mathematical Analysis and Applications
出版年:2017
8.
Graph regularized compact low rank
representation
for subspace clustering
作者:
Shiqiang Du
a
;
b
;
shiqiangdu@hotmail.com
;
Yide Ma
;
a
;
yidema@foxmail.com
;
Yurun Ma
a
关键词:
Dictionary learning
;
Low rank
representation
;
Manifold regularization
;
Subspace clustering
刊名:Knowledge-Based Systems
出版年:2017
9.
Knowledge
representation
among assessors through free hierarchical sorting and a semi-directed interview: Exploring Beaujolais wines
作者:
C. Honoré
;
-Chedozeau
a
;
b
;
carole_chedozeau@etu.u-bourgogne.fr
;
M. Leliè
;
vre-Desmas
c
;
J. Ballester
a
;
S. Chollet
c
;
D. Valentin
a
;
d
关键词:
Knowledge
representation
;
Categorization
;
Hierarchical sorting task
;
Verbal report
;
Experts
;
Consumers
;
Wine
刊名:Food Quality and Preference
出版年:2017
10.
Source cell phone verification from speech recordings using sparse
representation
作者:
Ling Zou
zou.ling@mail.scut.edu.cn
Author Vitae
;
Qianhua He
;
eeqhhe@scut.edu.cn
Author Vitae
;
Junfeng WuAuthor Vitae
关键词:
Digital audio forensics
;
Source cell phone verification
;
Gaussian supervectors
;
Sparse
representation
;
Supervised dictionary learning
刊名:Digital Signal Processing
出版年:2017
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