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Quantitative Evaluation of Sensor Reconfigurability Based on Data-driven Method
期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 9, 页码: 2879-2891
作者:
Jiang, Dongnian
;
Li, Wei
收藏
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浏览/下载:28/0
  |  
提交时间:2022/09/22
Redundancy
Analytic redundancies
Analytical redundancy
Data-driven methods
Kernel density estimators
Kullback Leibler divergence
Quantitative evaluation
Reconfigurability
Sensor reconfigurability
Sparse kernel density estimator
Sparse kernels
Hyperspectral Image Classification Based on Sparse Superpixel Graph
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 18, 页码: 18
作者:
Zhao, Yifei
;
Yan, Fengqin
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  |  
浏览/下载:58/0
  |  
提交时间:2021/11/05
hyperspectral image
sparse superpixel graph
spectral-spatial classification
discrete potential
big data
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 16, 页码: 12540-12549
作者:
Cui, Zhihua
;
Jing, Xuechun
;
Zhao, Peng
;
Zhang, Wensheng
;
Chen, Jinjun
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  |  
浏览/下载:59/0
  |  
提交时间:2021/11/02
Sparse matrices
Internet of Things
Clustering algorithms
Correlation
Artificial intelligence
Servers
Hyperspectral imaging
Close neighbors
data analysis
hyperspectral images (HSIs)
Internet of Things (IoT)
subspace clustering
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 7, 页码: 1792-1804
作者:
Zhou, Bo
;
Zhou, S. Kevin
;
Duncan, James S.
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  |  
浏览/下载:19/0
  |  
提交时间:2021/12/01
Tomographic reconstruction
cascaded network
projection data fidelity layer
RedSCAN
limited angle
sparse view
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749
作者:
Liu, Zhigang
;
Luo, Xin
;
Wang, Zidong
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  |  
浏览/下载:120/0
  |  
提交时间:2021/05/17
Manganese
Convergence
Computational modeling
Learning systems
Analytical models
Sparse matrices
Big Data
Big data
convergence
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
learning system
neural networks
nonnegative LF (NLF) analysis
single LF-dependent nonnegative and multiplicative update (SLF-NMU)
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Wu, Di
;
Liu, Zhigang
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  |  
浏览/下载:27/0
  |  
提交时间:2021/05/17
Data models
Training
Sparse matrices
Recommender systems
Computational modeling
Big Data
Scalability
Non-negative latent factor analysis
non-negativity
latent factor analysis
unconstrained optimization
high-dimensional and sparse matrix
collaborative filtering
recommender system
big data
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model
期刊论文
NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39
作者:
Li, Jinli
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
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  |  
浏览/下载:25/0
  |  
提交时间:2021/03/17
Big data
Stochastic gradient descent
Proportional integral derivation
PID controller
High-dimensional and sparse matrix
Latent factor analysis
Sparse reconstruction with spatial structures to automatically determine neighbors
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2021, 页码: 23
作者:
Yu, Wenhao
;
Zhang, Yifan
;
Chen, Zhanlong
;
Ai, Tinghua
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/04/25
Spatial database
spatial data mining
sparse coding
spatial inference
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning
期刊论文
INFORMATION SCIENCES, 2021, 卷号: 547, 页码: 1025-1044
作者:
Li, Dan
;
Du, Changde
;
Wang, Shengpei
;
Wang, Haibao
;
He, Huiguang
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/03/02
Data augmentation
Semantic decoding
Multi-view adversarial learning
Sparse reconstruction relation
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Min, Wenwen
;
Wan, Xiang
;
Chang, Tsung-Hui
;
Zhang, Shihua
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  |  
浏览/下载:9/0
  |  
提交时间:2022/04/02
Gene expression
Biology
Biological system modeling
Principal component analysis
Mathematical model
Data models
Big Data
Absolute-valued graph regularization
graph regularization
sparse learning
structured sparse singular value decomposition (SVD)
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