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在“
Elsevier电子期刊
”中,
命中:
569
条,耗时:0.0199965 秒
在所有数据库中总计命中:
5,237
条
1.
Manifold
regularized cross-modal embedding for zero-shot
learning
作者:
Zhong Ji
a
;
jizhong@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Yunlong Yu
a
;
yuyunlong@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Yanwei Pang
a
;
pyw@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Jichang Guo
a
;
jcguo@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Zhongfei Zhang
b
;
zhongfei@cs.binghamton.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Zero-shot
learning
;
Image classification
;
Cross-modal embedding
;
Manifold
;
Domain adaptation
刊名:Information Sciences
出版年:2017
2.
Nonlinear
manifold
learning
for early warnings in financial markets
作者:
Yan Huang
a
;
1
;
Gang Kou
b
;
1
;
kougang@yahoo.com
;
kou.gang@qq.com
;
kougang@swufe.edu.cn
;
Yi Peng
c
;
1
;
pengyi@uestc.edu.cn
关键词:
Data mining
;
Manifold
learning
;
Financial markets
;
Early warning
;
Dynamic system
刊名:European Journal of Operational Research
出版年:2017
3.
Generalized extreme
learning
machine autoencoder and a new deep neural network
作者:
Kai Sun
kai.s@foxmail.com
Author Vitae
;
Jiangshe Zhang
;
jszhang@mail.xjtu.edu.cn
Author Vitae
;
Chunxia Zhang
cxzhang@mail.xjtu.edu.cn
Author Vitae
;
Junying Hu
hujunyingmm@163.com
Author Vitae
关键词:
Extreme
learning
machine
;
Generalized extreme
learning
machine autoencoder
;
Manifold
regularization
;
Deep neural network
;
Multilayer generalized extreme
learning
machine autoencoder
刊名:Neurocomputing
出版年:2017
4.
Density estimation on
manifold
s with boundary
作者:
Tyrus Berry
;
tberry@gmu.edu
;
Timothy Sauer
tsauer@gmu.edu
关键词:
Kernel density estimation
;
Manifold
learning
;
Boundary correction
;
Geometric prior
刊名:Computational Statistics & Data Analysis
出版年:2017
5.
Multi-
manifold
matrix decomposition for data co-clustering
作者:
Kais Allab
;
kais.allab@parisdescartes.fr
Author Vitae
;
Lazhar LabiodAuthor Vitae
;
Mohamed NadifAuthor Vitae
关键词:
Co-clustering
;
Matrix Tri-Factorization
;
Muli-
Manifold
learning
刊名:Pattern Recognition
出版年:2017
6.
Group-constrained
manifold
learning
: Application to AD risk assessment
作者:
R. Guerrero
;
reg09@imperial.ac.uk
Author Vitae
;
C. LedigAuthor Vitae
;
A. Schmidt-RichbergAuthor Vitae
;
D. RueckertAuthor Vitae
;
The Alzheimer's Disease Neuroimaging Initiative (ADNI)
1
关键词:
Alzheimer's disease
;
Manifold
learning
;
Longitudinal
;
Neurodegeneration
刊名:Pattern Recognition
出版年:2017
7.
Looseness diagnosis method for connecting bolt of fan foundation based on sensitive mixed-domain features of excitation-response and
manifold
learning
作者:
Renxiang Chen
a
;
b
Author Vitae
;
Siyang Chen
a
Author Vitae
;
Lixia Yang
a
;
c
Author Vitae
;
Jiaxu Wang
b
;
manlouyue@126.com
Author Vitae
;
Xiangyang Xu
a
Author Vitae
;
Tianhong Luo
a
Author Vitae
关键词:
Looseness diagnosis
;
Connecting bolt
;
Excitation-response
;
Sensitive feature
;
Manifold
learning
刊名:Neurocomputing
出版年:2017
8.
Semi-supervised
manifold
alignment with few correspondences
作者:
Jing Wang
;
1
;
wroaring@hqu.edu.cn
Author Vitae
;
Xin ZhangAuthor Vitae
;
Xueqing LiAuthor Vitae
;
Jixiang DuAuthor Vitae
关键词:
Manifold
alignment
;
Geodesic distance
;
Correspondence information
;
Semi-supervised
刊名:Neurocomputing
出版年:2017
9.
Subspace ensemble
learning
via totally-corrective boosting for gait recognition
作者:
Guangkai Ma
a
;
1
;
Author Vitae
;
Yan Wang
b
;
1
Author Vitae
;
Ligang Wu
a
Author Vitae
关键词:
Subspace
learning
;
Totally-corrective boosting
;
Ensemble
learning
;
Gait recognition
刊名:Neurocomputing
出版年:2017
10.
Discriminative sparse flexible
manifold
embedding with novel graph for robust visual representation and label propagation
作者:
Zhao Zhang
a
;
b
;
cszzhang@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Yan Zhang
a
;
b
Author Vitae
;
Fanzhang Li
a
;
b
Author Vitae
;
Mingbo Zhao
c
Author Vitae
;
Li Zhang
a
;
b
Author Vitae
;
Shuicheng Yan
d
Author Vitae
关键词:
Flexible
manifold
embedding
;
Semi-supervised
learning
;
l2
;
1-Norm regularization
;
Novel graph construction
;
Robust representation and recognition
刊名:Pattern Recognition
出版年:2017
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2
3
4
5
6
7
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