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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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Proximal Alternating-Direction-Method-of-Multipliers-Incorporated Nonnegative Latent Factor Analysis
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:
Bi, Fanghui
;
Luo, Xin
;
Shen, Bo
;
Dong, Hongli
;
Wang, Zidong
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/12/25
Data science
high-dimensional and incomplete data
knowledge acquisition
industrial application
nonnegative latent factor analysis(NLFA)
proximal alternating direction method of multipliers
representation learning
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector
期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:
Liu, Zhigang
;
Yi, Yugen
;
Luo, Xin
收藏
  |  
浏览/下载:523/0
  |  
提交时间:2023/04/06
Detectors
Symmetric matrices
Indexes
Training
Probability
Network analyzers
Frequency measurement
Learning system
network representation learning
community detection
nonnegative matrix factorization
symmetric model
capacity
graph regularization
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:
Luo, Xin
;
Zhou, Yue
;
Liu, Zhigang
;
Hu, Lun
;
Zhou, MengChu
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2022/12/26
Computational modeling
Acceleration
Sparse matrices
Adaptation models
Training
Data models
Convergence
Services computing
service application
big data
latent factor analysis
non-negative latent factor model
high-dimensional and sparse matrix
recommender system
missing data
Diversified Regularization Enhanced Training for Effective Manipulator Calibration
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:
Li, Zhibin
;
Li, Shuai
;
Bamasag, Omaimah Omar
;
Alhothali, Areej
;
Luo, Xin
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2022/08/22
Robots
Robot kinematics
Calibration
Service robots
Robot sensing systems
Kinematics
End effectors
Absolute positioning accuracy
ensemble
kinematic parameters
overfitting
regularization scheme
robot arms
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:
Luo, Xin
;
Wang, Zidong
;
Shang, Mingsheng
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2021/08/20
High-dimensional and sparse (HiDS) data
industrial application
instance-frequency
non-negative latent factor analysis (NLFA)
recommender system
regularization
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Luo, Xin
;
Liu, Zhigang
;
Jin, Long
;
Zhou, Yue
;
Zhou, MengChu
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  |  
浏览/下载:60/0
  |  
提交时间:2022/08/22
Detectors
Convergence
Symmetric matrices
Social networking (online)
Analytical models
Tuning
Computational modeling
Community detection
convergence analysis
graph regularization
nonnegative multiplicative update (NMU)
social network analysis
symmetric and nonnegative matrix factorization (SNMF)
Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems
期刊论文
NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328
作者:
Chen, Jiufang
;
Yuan, Ye
;
Ruan, Tao
;
Chen, Jia
;
Luo, Xin
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2021/02/24
Big Data
Intelligent Computation
Latent Factor Analysis
Evolutionary Computing
Learning Algorithm
High-dimensional and Sparse Data
Parameter Free
Elastic-net regularized latent factor analysis-based models for recommender systems
期刊论文
NEUROCOMPUTING, 2019, 卷号: 329, 页码: 66-74
作者:
Wang, Dexian
;
Chen, Yanbin
;
Guo, Junxiao
;
Shi, Xiaoyu
;
He, Chunlin
;
Luo, Xin
;
Yuan, Huaqiang
Adobe PDF(1965Kb)
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收藏
  |  
浏览/下载:223/0
  |  
提交时间:2019/01/17
Big data
Recommender systems
Collaborative filtering
Latent factor analysis
Elastic-net
Regularization
Latent factor distribution
Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:
Yan, Zhuo
;
Feng, Youji
;
Cheng, Cheng
;
Fu, Jianting
;
Zhou, Xiangdong
;
Yuan, Jiahu
Adobe PDF(3776Kb)
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  |  
浏览/下载:256/0
  |  
提交时间:2018/06/04
Object Recognition
Feedforward Neural Nets
Learning (Artificial Intelligence)
Comprehensive Vehicle Attributes
D-cnn
Weighted Multiattribute Strategy
Deep Convolutional Neural Network
Surveillance Images
Vehicle Model Recognition
Make Recognition
Mtl Methods
Multitask Learning
Compcars Vehicle Dataset
Manufacturer Recognition
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications
期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Shang, Mingsheng
Adobe PDF(805Kb)
  |  
收藏
  |  
浏览/下载:423/0
  |  
提交时间:2019/06/26