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期刊论文 [9]
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ISSEC: inferring contacts among protein secondary structure elements using deep object detection
期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 503
作者:
Zhang, Qi
;
Zhu, Jianwei
;
Ju, Fusong
;
Kong, Lupeng
;
Sun, Shiwei
收藏
|
浏览/下载：49/0
|
提交时间：2021/09/27
HELIX-HELIX INTERACTIONS
INVERSE COVARIANCE ESTIMATION
RESIDUE CONTACTS
BETA-SHEETS
PREDICTION
MEMBRANE
Investigating executive control network and default mode network dysfunction in major depressive disorder
期刊论文
NEUROSCIENCE LETTERS, 2019, 卷号: 701, 页码: 154-161
作者:
Zhao, Qinghua
;
Swati, Zarnawab N. K.
;
Metmer, Hichem
;
Sang, Xiaoshuang
;
Lu, Jianfeng
收藏
|
浏览/下载：45/0
|
提交时间：2019/07/11
Major depressive disorder (MDD)
Sparse representation
Default mode network (DMN)
Executive control network (ECN)
Sparse inverse covariance estimation (SICE)
Functional connectivity
Fast algorithms for sparse inverse covariance estimation
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2019, 卷号: 96, 期号: 8, 页码: 1668-1686
作者:
Xu, Fangfang
;
Deng, Ruiyang
收藏
|
浏览/下载：9/0
|
提交时间：2019/12/11
The precision matrix
sparse inverse covariance estimation
sparse
covariance selection problem
alternating direction method of
multipliers
positive semi-definite programming
Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data
期刊论文
NEURODEGENERATIVE DISEASES, 2018, 卷号: 18, 期号: 1, 页码: 5-18
作者:
Li, Qing
;
Wu, Xia
;
Xie, Fufang
;
Chen, Kewei
;
Yao, Li
收藏
|
浏览/下载：31/0
|
提交时间：2018/05/28
Alzheimer disease
Brain disorders
Mild cognitive impairment
Multimodal imaging
Sparse inverse covariance estimation
Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification
期刊论文
FRONTIERS IN NEUROINFORMATICS, 2018, 卷号: 12, 页码: 58
作者:
Li, Yang
;
Liu, Jingyu
;
Huang, Jie
;
Li, Zuoyong
;
Liang, Peipeng
收藏
|
浏览/下载：3/0
|
提交时间：2019/12/30
Alzheimer's disease (AD)
resting-state fMRI
Group-constrained topology structure detection
sparse inverse covariance estimation (SICE)
functional connectivity network
classification
Sparse inverse covariance network-based modeling for mild cognitive impairment classification
会议论文
2017 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2017-01-01
作者:
Huang, Jie
;
Li, Yang
收藏
|
浏览/下载：3/0
|
提交时间：2019/12/30
Mild cognitive impairment (MCI)
Resting-state fMRI
Sparse inverse covariance estimation (SICE)
Functional connectivity network
Classification
Kullback-Leibler divergence for interacting multiple model estimation with random matrices
期刊论文
IET SIGNAL PROCESSING, 2016, 卷号: 10, 页码: 12-18
作者:
Li, Wenling
;
Jia, Yingmin
收藏
|
浏览/下载：3/0
|
提交时间：2019/12/30
state estimation
filtering theory
random processes
covariance matrices
Markov processes
measurement errors
statistical distributions
inverse problems
minimisation
method of moments
linear systems
interacting multiple model estimation
random matrix
IMM
jump Markov linear system
unknown measurement noise covariance
system state estimation
weighted inverse-Wishart distribution
weighted Kullback-Leibler divergence minimisation
optimisation problem
moment matching approac
Overlapping Decomposition for Gaussian Graphical Modeling
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2015
Song, Guojie
;
Han, Lei
;
Xie, Kunqing
收藏
|
浏览/下载：2/0
|
提交时间：2017/12/03
Gaussian graphical model
correlation
overlapping decomposition
heterogeneity
dynamic
INVERSE COVARIANCE ESTIMATION
LASSO
NETWORKS
Grey matter connectivity within and between auditory, language and visual systems in prelingually deaf adolescents
期刊论文
RESTORATIVE NEUROLOGY AND NEUROSCIENCE, 2015, 卷号: 33, 期号: 3, 页码: 279-290
作者:
Li, Wenjing
;
Li, Jianhong
;
Wang, Zhenchang
;
Li, Yong
;
Liu, Zhaohui
收藏
|
浏览/下载：26/0
|
提交时间：2015/09/17
Brain plasticity
grey matter connectivity
sparse inverse covariance estimation (SICE)
prelingually deaf adolescents
magnetic resonance imaging (MRI)
Adaptive filtering for jump Markov systems with unknown noise covariance
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 页码: 1765-1772
作者:
Li, Wenling
;
Jia, Yingmin
收藏
|
浏览/下载：4/0
|
提交时间：2020/01/06
adaptive filters
approximation theory
Bayes methods
covariance matrices
estimation theory
Markov processes
random processes
mode-likelihood function
mode-conditioned estimate
variational Bayesian approximation method
inverse-Wishart distribution
random matrix
unknown measurement noise covariance
adaptive filtering
jump Markov systems
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