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Elsevier电子期刊(27)
在“
Elsevier电子期刊
”中,
命中:
27
条,耗时:小于0.01 秒
在所有数据库中总计命中:
66
条
1.
Hessian
regularization
based symmetric nonnegative matrix factorization for clustering gene expression and microbiome data
作者:
Yuanyuan Ma
a
;
chonghua_1983@126.com
;
Xiaohua Hu
b
;
huxiaohua@mail.ccnu.edu.cn
;
Tingting He
b
;
tthe@mail.ccnu.edu.cn
;
Xingpeng Jiang
b
;
xpjiang@mail.ccnu.edu.cn
关键词:
Symmetric nonnegative matrix factorization
;
Hessian
regularization
;
Data clustering
;
Laplacian
regularization
刊名:Methods
出版年:2016
2.
HSAE: A
Hessian
regularized sparse auto-encoders
作者:
Weifeng Liu
a
Author Vitae
;
Tengzhou Ma
a
Author Vitae
;
Dapeng Tao
b
;
Author Vitae
;
Jane You
c
Author Vitae
关键词:
Hessian
regularization
;
Sparse representation
;
Auto-encoder
;
Manifold
刊名:Neurocomputing
出版年:2016
3.
Hessian
regularization
by patch alignment framework
作者:
Weifeng Liu
a
Author Vitae
;
Hongli Liu
a
Author Vitae
;
Dapeng Tao
b
;
dapeng.tao@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Semi-supervised learning
;
Hessian
;
Patch alignment
;
Least squares
刊名:Neurocomputing
出版年:2016
4.
Hessian
semi-supervised extreme learning machine
作者:
Ganesh Krishnasamy
krishnasamy.ganesh@gmail.com" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Raveendran Paramesran
;
ravee@um.edu.my" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Extreme learning machine
;
Semi-supervised learning
;
Manifold learning
;
Hessian
regularization
刊名:Neurocomputing
出版年:2016
5.
A-Optimal Non-negative Projection with
Hessian
regularization
作者:
Zheng Yang
a
;
yzzju@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Haifeng Liu
a
;
haifengliu@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Deng Cai
b
;
dengcai@cad.zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Zhaohui Wu
a
;
wzh@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Non-negative projection
;
Manifold learning
;
Optimum Experimental Designs
刊名:Neurocomputing
出版年:2016
6.
New second order Mumford-Shah model based on Γ-convergence approximation for image processing
作者:
Jinming Duan
a
;
psxjd3@nottingham.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Wenqi Lu
b
;
Zhenkuan Pan
b
;
Li Bai
a
关键词:
Image denoising
;
Image segmentation
;
Mumford&ndash
;
Shah model
;
Γ-convergence approximation
;
Total generalized variation
;
Bounded
Hessian
regularization
;
Split Bregman algorithm
;
Fast Fourier transform
刊名:Infrared Physics & Technology
出版年:2016
7.
A denoising algorithm for projection measurements in cone-beam computed tomography
作者:
Davood Karimi
;
karimi@ece.ubc.ca" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Rabab WardAuthor Vitae
关键词:
Low-dose computed tomography
;
Sinogram denoising
;
Sparsity-based denoising
;
Cone-beam
;
Bregman method
;
Total variation denoising
刊名:Computers in Biology and Medicine
出版年:2016
8.
Multiview
Hessian
discriminative sparse coding for image annotation
作者:
Weifeng Liu
;
Dacheng Tao
;
Jun Cheng
;
Yuanyan Tang
关键词:
Image annotation
;
Hessian
;
Multiview
;
Sparse coding
刊名:Computer Vision and Image Understanding
出版年:January, 2014
9.
Projection Error Propagation-based
Regularization
(PEPR) method for resistivity reconstruction in Electrical Impedance Tomography (EIT)
作者:
Tushar Kanti Bera
;
Samir Kumar Biswas
;
K. Rajan
;
J. Nagaraju
关键词:
Electrical Impedance Tomography (EIT)
;
Projection Error Propagation-based
Regularization
(PEPR)
;
Model Based Iterative Image Reconstruction (MoBIIR)
;
EIDORS
;
STR
;
LMR
;
Image analysis
;
NaCl&ndash
;
Nylon phantom
;
Chicken tissue phantom
刊名:Measurement
出版年:March, 2014
10.
Barrier NLP methods with structured
regularization
for optimization of degenerate optimization problems
作者:
Kexin Wang
;
Zhijiang Shao
;
Yidong Lang
;
Jixin Qian
;
Lorenz T. Biegler
关键词:
Barrier NLP methods
;
Dependent constraints
;
KKT
regularization
;
Newton's method
刊名:Computers and Chemical Engineering
出版年:2013
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