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IMJ-PLUS: Implicit Representation for Dynamic MRI and Coil Sensitivity Joint Reconstruction Using Low-Rank PLUS Sparse Regularization
会议论文
2025 IEEE 22ND INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Houston, TX, USA, 14-17 April 2025
作者:
Xin Shen
;
Jie Feng
;
Ruimin Feng
;
Yuyao Zhang
;
Hongjiang Wei
Adobe PDF(17267Kb)
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收藏
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浏览/下载：16/1
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提交时间：2025/05/20
Deep learning
Neuroimaging
Acceleration factors
Coil sensitivity
Dynamic magnetic resonance imaging
Dynamic MR imaging
Free breathing
Implicit neural representation
Low- rank plus sparsity
MR imaging
Neural representations
Sensitivity map
Efficient Wireless Federated Learning Via Low-Rank Gradient Factorization
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 卷号: 74, 期号: 4, 页码: 6811-6816
作者:
Adobe PDF(820Kb)
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浏览/下载：255/61
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提交时间：2024/12/04
Benchmarking
Iterative methods
Jacobian matrices
Compression methods
Gradient factorization
Low rank compression
Low-rank matrices
Matrix factorizations
Over the airs
Over-the-air computation
Successive convex approximations
Wireless federated learning
Wireless systems
Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
预印本
2024
作者:
Wang, Hao
;
Wang, Ye
;
Yang, Xiangyu
Adobe PDF(2730Kb)
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收藏
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浏览/下载：285/1
|
提交时间：2024/07/08
Low-rank minimization
nonconvex Schatten-p norm
rank identification
extrapolation
Kurdyka- Lojasiewicz property
Constructing fine-grained spatiotemporal neonatal functional atlases with spectral functional network learning
期刊论文
HUMAN BRAIN MAPPING, 2024, 卷号: 45, 期号: 8
作者:
Wen, Xuyun
;
Zhao, Yunxi
;
Chen, Geng
;
Zhang, Han
;
Zhang, Daoqiang
Adobe PDF(24358Kb)
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收藏
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浏览/下载：213/2
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提交时间：2024/06/11
early brain development
low-rank tensor learning
neonate
spatiotemporal functional atlases
spectral embedding
Efficient Active Manifold Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
期刊论文
JOURNAL OF MACHINE LEARNING RESEARCH, 2024, 卷号: 25
作者:
Wang, Hao
;
Wang, Ye
;
Yang, Xiangyu
收藏
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浏览/下载：161/0
|
提交时间：2024/12/04
Low-rank minimization
Kurdyka-& Lstrok
nonconvex Schatten-p norm
ojasiewicz property
active manifold identi- fication
extrapolation
Two-Way Sparse Reduced-Rank Regression via Scaled Gradient Descent with Hard Thresholding
会议论文
2024 IEEE 13RD SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), Corvallis, OR, USA, 8-11 July 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(519Kb)
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收藏
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浏览/下载：343/2
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提交时间：2024/09/18
Error statistics
Iterative methods
Logistic regression
Support vector regression
Convergence analysis
Gradient-descent
Hard thresholding
Low-rank
Multiple response
Multiple response linear regression
Scaled gradient descent
Sparse
Statistical errors
Two ways
Large Covariance Matrix Estimation Based on Factor Models via Nonconvex Optimization
会议论文
ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Seoul, Korea, Republic of, 14-19 April 2024
作者:
Shanshan Zou
;
Ziping Zhao
Adobe PDF(959Kb)
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收藏
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浏览/下载：283/3
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提交时间：2024/03/29
Covariance matrix estimation
low-rank plus sparse
minimax rate
nonconvex statistical optimization
factor models
Accelerated 4D Flow MRI Using Deep Low-Rank Plus Sparse Neural Network and Complex Difference
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Athens, Greece, 27-30 May 2024
作者:
Yuyang Ren
;
Wenjian Liu
;
Zijian Zhou
;
Haiqun Qi
;
Peng Hu
Adobe PDF(1790Kb)
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收藏
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浏览/下载：255/5
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提交时间：2024/08/26
Compressed sensing
Deep neural networks
Image coding
Image enhancement
Image reconstruction
Image segmentation
4d flow MRI
Complex difference
Deep learning
Haemodynamics
Images reconstruction
Low-rank plus sparse decomposition
NET techniques
Prospectives
Sparse decomposition
Sparse neural networks
Accelerating Gradient Descent for Over-Parameterized Asymmetric Low-Rank Matrix Sensing via Preconditioning
会议论文
ICASSP 2024 - 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Seoul, Korea, Republic of, 14-19 April 2024
作者:
Cheng Cheng
;
Ziping Zhao
Adobe PDF(881Kb)
|
收藏
|
浏览/下载：285/1
|
提交时间：2024/03/29
Low-rank matrix sensing
matrix recovery
preconditioned gradient descent
over-parameterization
Robust embedding regression for semi-supervised learning
期刊论文
PATTERN RECOGNITION, 2024, 卷号: 145
作者:
Bao, Jiaqi
;
Kudo, Mineichi
;
Kimura, Keigo
;
Sun, Lu
Adobe PDF(2659Kb)
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收藏
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浏览/下载：463/0
|
提交时间：2023/10/13
Classification (of information)
Feature Selection
Iterative methods
Regression analysis
Embeddings
Features selection
Labeled data
Low-rank representations
Nuclear norm
Real-world
Ridge regression
Semi-supervised learning
Semi-supervised method
Unlabeled data
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