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重庆绿色智能技术研究... [8]

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兰州理工大学 [1]

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	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 收藏 \| 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
	OCNet: Object Context for Semantic Segmentation 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 24 作者: Yuan, Yuhui; Huang, Lang; Guo, Jianyuan; Zhang, Chao; Chen, Xilin 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/12/01 Semantic segmentation Context Self-attention
	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：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 收藏 \| 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：22/0 \| 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：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：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
	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：14/0 \| 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
	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: Xin Luo; Wen Qin; Ani Dong; Khaled Sedraoui; MengChu Zhou 收藏 \| 浏览/下载：25/0 \| 提交时间：2021/04/09 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)

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