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重庆绿色智能技术研... [33]

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	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：26/0 \| 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
	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：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
	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：23/0 \| 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)
	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：15/0 \| 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
	Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization 期刊论文 IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 卷号: 8, 期号: 1, 页码: 463-476 作者: Luo, Xin; Liu, Zhigang; Shang, Mingsheng; Lou, Jungang; Zhou, MengChu 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/04/20 Detectors Symmetric matrices Image edge detection Social networking (online) Topology Measurement Knowledge engineering Computational Intelligence Social Network Network Representation Community Detection Pointwise Mutual Information Symmetric and Non-negative Matrix Factorization Graph-regularization
	Cross- Scenario Person Re-identification 期刊论文 Journal of Physics: Conference Series, 2020, 卷号: 1684, 期号: 1 作者: Jia,Ruoran; Liu,Shuguang 收藏 \| 浏览/下载：10/0 \| 提交时间：2021/02/24
	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
	Random Forest-Based Ensemble Estimator for Concrete Compressive Strength Prediction via AdaBoost Method 会议论文 Kunming, China, July 20, 2019 - July 22, 2019 作者: Lv, Yuanxin; Shi, Xiaoyu; Ran, Longyu; Shang, Mingsheng 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/02/18
	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 收藏 \| 浏览/下载：75/0 \| 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

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