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重庆绿色智能技术研... [36]

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限定条件	专题：重庆绿色智能技术研究院第一署名单位第一作者单位通讯作者单位

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	STA-VPR: Spatio-Temporal Alignment for Visual Place Recognition 期刊论文 IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 4297-4304 作者: Lu, Feng; Chen, Baifan; Zhou, Xiang-Dong; Song, Dezhen 收藏 \| 浏览/下载：78/0 \| 提交时间：2021/06/01 Deep learning for visual perception localization vision-based navigation
	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 收藏 \| 浏览/下载：25/0 \| 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
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Luo, Xin; Qin, Wen; Dong, Ani; Sedraoui, Khaled; Zhou, MengChu 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	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：21/0 \| 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
	A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators 期刊论文 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 卷号: 29, 期号: 1, 页码: 53-63 作者: Xie, Zhengtai; Jin, Long; Luo, Xin; Li, Shuai; Xiao, Xiuchun 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/03/01 Manipulator dynamics Kinematics Task analysis Jacobian matrices Neural networks Redundancy Cyclic-motion generation (CMG) data driven dynamic neural network (DNN) learning and control redundant manipulator
	A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620 作者: Luo, Xin; Liu, Zhigang; Li, Shuai; Shang, Mingsheng; Wang, Zidong 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/03/17 Big data high-dimensional and sparse (HiDS) matrix latent factor (LF) analysis missing data estimation non-negative LF (NLF) model recommender system
	Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 7, 页码: 4670-4680 作者: Khan, Ameer Hamza; Li, Shuai; Luo, Xin 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/08/24 Manipulators Collision avoidance Trajectory Optimization Task analysis Kinematics Metaheuristic optimization obstacle avoidance recurrent neural network (RNN) tracking control
	Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017 作者: Song, Yan; Li, Ming 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/08/24 Computational modeling Sparse matrices Biological system modeling Symmetric matrices Matrix decomposition Linear programming Convergence Big data data analysis latent factor nonnegativity sparse and large-scaled network symmetry triple-factorization undirected
	Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809 作者: Luo, Xin; Wu, Hao; Yuan, Huaqiang; Zhou, MengChu 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/08/24 Quality of service Hidden Markov models Data models Training Web services Time factors Latent factor analysis (LFA) latent factorization of tensor learning temporal pattern linear bias (LB) non-negative latent factorization of tensor non-negativity constraint quality-of-service (QoS) prediction
	Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855 作者: Luo, Xin; Zhou, MengChu; Li, Shuai; Hu, Lun; Shang, Mingsheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/08/24 Computational modeling Data models Sparse matrices Linear programming Training Convergence Analytical models Alternating-direction-method of multipliers high-dimensional and sparse matrix industrial application non-negative latent factor analysis recommender system

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