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A Comprehensive Survey on Community Detection With Deep Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
作者:
Su, Xing
;
Xue, Shan
;
Liu, Fanzhen
;
Wu, Jia
;
Yang, Jian
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/04/29
Deep learning
Taxonomy
Optimization
Partitioning algorithms
Clustering algorithms
Social networking (online)
Peer-to-peer computing
Community detection
deep learning
graph neural network
network representation
social networks
Improved Measurement Matrix Construction with Pseudo-Random Sequence in Compressed Sensing
期刊论文
WIRELESS PERSONAL COMMUNICATIONS, 2022, 卷号: 123, 期号: 4, 页码: 3003-3024
作者:
He, Jiai
;
Wang, Tong
;
Wang, Chanfei
;
Chen, Yanjiao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/03/01
Compressed sensing
Measurement matrix construction
Pseudorandom
Refactoring performance
Composition analysis of ceramic raw materials using laser-induced breakdown spectroscopy and autoencoder neural network
期刊论文
ANALYTICAL METHODS, 2022, 卷号: 14, 期号: 13, 页码: 1320-1328
作者:
Lv ZJ(吕尊记)
;
Yu, Hongxia
;
Sun LX(孙兰香)
;
Zhang P(张鹏)
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  |  
浏览/下载:14/0
  |  
提交时间:2022/03/31
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:53/0
  |  
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
Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805
作者:
Wu, Di
;
Luo, Xin
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  |  
浏览/下载:24/0
  |  
提交时间:2021/05/17
High-dimensional and sparse matrix
L-1-norm
L-2-norm
latent factor model
recommender system
smooth L-1-norm
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:118/0
  |  
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
收藏
  |  
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
收藏
  |  
浏览/下载:21/0
  |  
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
Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550
作者:
Min, Wenwen
;
Liu, Juan
;
Zhang, Shihua
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/04/26
Sparse SVD
low-rank matrix decomposition
group-sparse penalty
overlapping group-sparse penalty
coordinate descent method
alternating direction method of multipliers (ADMM)
data mining
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system
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