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武汉理工大学 [7]
清华大学 [3]
厦门大学 [2]
西安交通大学 [2]
复旦大学上海医学院 [2]
北京大学 [1]
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期刊论文 [23]
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2017 [2]
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Physics [1]
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Cross-covariance regularized autoencoders for nonredundant sparse feature representation
期刊论文
NEUROCOMPUTING, 2018, 卷号: 316, 页码: 49-58
作者:
Chen, Jie
;
Wu, ZhongCheng
;
Zhang, Jun
;
Li, Fang
;
Li, WenJing
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浏览/下载:42/0
  |  
提交时间:2019/12/11
Autoencoder
Cross-covariance
Deep learning
Feature representation
Receptive fields
Statistical performance of optimal scoring in reproducing kernel Hilbert spaces
期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2018, 卷号: 194, 页码: 122-135
作者:
Chen, Heng
;
Chen, Di-Rong
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Optimal scoring
Reproducing kernel Hilbert space
Canonical correlation analysis
Learning rate
Cross covariance operator
Vector Stochastic Processes with Pólya‐Type Correlation Structure
期刊论文
International Statistical Review, 2017, 卷号: 85, 期号: 2, 页码: 340-354
作者:
Ma, Chunsheng*
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/04
Cross covariance
direct covariance
covariance matrix function
elliptically contoured process
Gaussian process
infinitely divisible
Lévy process
Pólya‐type function
Structural damage detection based on covariance of covariance matrix with general white noise excitation
期刊论文
Journal of Sound and Vibration, 2017, 卷号: Vol.389, 页码: 168-182
作者:
Hui, Yi
;
Law, Siu Seong
;
Ku, Chiu Jen
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
Damage detection
Dynamics
White noise excitation
Acceleration response
Cross-covariance function
Evolutions of fluctuation modes and inner structures of global stock markets
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2016, 卷号: 30, 期号: 32, 页码: 1650237
作者:
Yan, Y
;
Wang, L
;
Liu, MX
;
Chen, XS
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  |  
浏览/下载:12/0
  |  
提交时间:2019/04/08
Global stock market
CROSS-CORRELATION
covariance matrix
CORRELATION-MATRICES
principle fluctuation mode analysis
FINANCIAL NETWORKS
complex network
INFORMATION
RETURNS
INDEXES
NOISE
TREES
TIMES
LAG
Stochastic representations of isotropic vector random fields on spheres
期刊论文
Stochastic Analysis and Applications, 2016, 卷号: 34, 期号: 3, 页码: 389-403
作者:
Ma, Chunsheng*
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/04
Covariance matrix function
Funk–Hecke formula
Gaussian random field
Gegenbauers polynomials
cross covariance
direct covariance
elliptically contoured random field
Fusion of Gaussian Mixture Models for Maneuvering Target Tracking in the Presence of Unknown Cross-correlation
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2016, 卷号: 25, 期号: [db:dc_citation_issue], 页码: 270-276
作者:
Zhu Hongyan
;
Guo Kai
;
Chen Shuo
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Gaussian mixture model (GMM)
Estimation fusion
Covariance intersection (CI)
Interacting multiple model (IMM)
Cross-correlation
Multifractional Vector Brownian Motions, Their Decompositions, and Generalizations
期刊论文
Stochastic Analysis and Applications, 2015, 卷号: 33, 期号: 3, 页码: 535-548
作者:
Ma, Chunsheng*
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/04
Gaussian random field
Covariance matrix function
Bifractional Brownian motion
Schoenberg-Levy kernel
Self-similar, Trifactional Brownian motion
Fractional Brownian motion
Cross covariance
Variogram.
Elliptically contoured random field
Direct covariance
Eigenvalue sensitivity and uncertainty analysis based on classical perturbation theory
期刊论文
Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2015, 卷号: 49, 期号: [db:dc_citation_issue], 页码: 1247-1253
作者:
Liu, Yong
;
Cao, Liang-Zhi
;
Wu, Hong-Chun
;
Zu, Tie-Jun
收藏
  |  
浏览/下载:98/0
  |  
提交时间:2019/12/02
Capture cross sections
Covariance
Eigenvalue sensitivity
Lattice calculations
Perturbation theory
Sensitivity
Sensitivity and uncertainty analysis
Uncertainty
Covariance matrix functions of isotropic vector random fields
期刊论文
Communications in Statistics - Theory and Methods, 2014, 卷号: 43, 期号: 10-12, 页码: 2081-2093
作者:
Wang, Renxiang
;
Du, Juan
;
Ma, Chunsheng*
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/04
Covariance matrix function
Cross covariance
Direct covariance
Elliptically contoured random field
Gaussian random field
Spectral density matrix function
Spherically invariant random field
Stationary
60G12
60G22
60G15
60G60
60G18
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