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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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Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 14
作者:
Qin, Wen
;
Luo, Xin
;
Li, Shuai
;
Zhou, MengChu
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/12/25
Adaptation models
Training
Data models
Convergence
Stochastic processes
Sparse matrices
Tuning
Big data
latent factor analysis
Index Terms
adaptive model
parallelization
machine learning
stochastic gradient descent
high-dimensional and incomplete matrix
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536
作者:
Chen, Jia
;
Luo, Xin
;
Zhou, Mengchu
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  |  
浏览/下载:61/0
  |  
提交时间:2022/12/26
Adaptation models
Optimization
Convergence
Computational modeling
Sparse matrices
Particle swarm optimization
Big Data
Big data
latent factor analysis
particle swarm optimization
high-dimensional and sparse matrix
large-scale incomplete data
missing data estimation
industrial application
Nonnegative Latent Factor Analysis-Incorporated and Feature-Weighted Fuzzy Double $c$-Means Clustering for Incomplete Data
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 10, 页码: 4165-4176
作者:
Song, Yan
;
Li, Ming
;
Zhu, Zhengyu
;
Yang, Guisong
;
Luo, Xin
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/12/26
Big data
clustering
fuzzy double c-means
incomplete data
latent factor analysis
local feature weights.
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:
Yuan, Ye
;
Luo, Xin
;
Shang, Mingsheng
;
Wang, Zidong
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  |  
浏览/下载:63/0
  |  
提交时间:2022/08/22
Quality of service
Data models
Kalman filters
Estimation
Computational modeling
Web services
Heuristic algorithms
Alternating least squares (ALSs)
computational intelligence
data science
dynamic latent factor analysis (LFA)
dynamics
intelligent computing
Kalman filter
temporal pattern
Web service
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:81/0
  |  
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
An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:
Shang, Mingsheng
;
Yuan, Ye
;
Luo, Xin
;
Zhou, MengChu
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  |  
浏览/下载:52/0
  |  
提交时间:2022/08/22
Computational modeling
Sparse matrices
Convergence
Data models
Predictive models
Linear programming
Euclidean distance
-divergence
big data
convergence analysis
high-dimensional and sparse (HiDS) data
momentum
machine learning
missing data estimation
non-negative latent factor analysis (NLFA)
recommender system (RS)
Image fusion based on multiscale transform and sparse representation to enhance terahertz images
期刊论文
OPTICS EXPRESS, 2020, 卷号: 28, 期号: 17, 页码: 25293-25307
作者:
Mao, Qi
;
Zhu, Yunlong
;
Lv, Cixing
;
Lu, Yao
;
Yan, Xiaohui
;
Wei, Dongshan
;
Yan, Shihan
;
Liu, Jingbo
收藏
  |  
浏览/下载:104/0
  |  
提交时间:2020/12/01
Robust correlation filter tracking with deep semantic supervision
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:
Wang, Wei
;
Chen, Zhaoming
;
Douadji, Lyes
;
Shi, Mingquan
Adobe PDF(3083Kb)
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浏览/下载:234/0
  |  
提交时间:2019/06/24
particle filtering (numerical methods)
learning (artificial intelligence)
target tracking
convolutional neural nets
robust correlation filter tracking
high tracking performance
tracking failure
deep semantic supervision tracking framework
redetection tracking mechanism
particle filtering resampling
CF tracker
deep convolutional neural network
tracking frames
target occlusion
handcrafted features
real-time performance
OTB2013 benchmark datasets
OTB2015 benchmark datasets
DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198
作者:
Wang, Qingxian
;
Peng, Binbin
;
Shi, Xiaoyu
;
Shang, Tianqi
;
Shang, Mingsheng
Adobe PDF(4751Kb)
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  |  
浏览/下载:142/0
  |  
提交时间:2019/06/24
Recommender systems
collaborative filtering
rating prediction
denoising autoencoders
multi layered perceptron
Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 13338-13346
作者:
Gan, Zhenhua
;
Zou, Fumin
;
Zeng, Nianyin
;
Xiong, Baoping
;
Liao, Lyuchao
;
Li, Han
;
Luo, Xin
;
Du, Min
Adobe PDF(5435Kb)
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  |  
浏览/下载:159/0
  |  
提交时间:2019/03/25
Compressed sensing
wavelet denoising
DNA microarray
image filtering
NDOA