中国科学院重庆绿色智能技术研究院机构知识库

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	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;  Shang, Mingsheng 收藏  |  浏览/下载：145/0  |  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
	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)  |  收藏  |  浏览/下载：212/0  |  提交时间：2019/01/17 Big data  Recommender systems  Collaborative filtering  Latent factor analysis  Elastic-net  Regularization  Latent factor distribution
	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)  |  收藏  |  浏览/下载：159/0  |  提交时间：2019/03/25 Compressed sensing  wavelet denoising  DNA microarray  image filtering  NDOA
	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 收藏  |  浏览/下载：507/0  |  提交时间：2018/07/02 Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system
	Velocity-Level Control with Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 3, 页码: 921-930 作者:  Zhang, Yinyan;  Li, Shuai;  Gui, Jie;  Luo, Xin Adobe PDF(1146Kb)  |  收藏  |  浏览/下载：135/0  |  提交时间：2019/06/26
	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：414/0  |  提交时间：2019/06/26
	Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems 会议论文 14th IEEE International Conference on Automation Science and Engineering, CASE 2018, Munich, Germany, August 20, 2018 - August 24, 2018 作者:  Luo, Xin;  Zhou, Mengchu 收藏  |  浏览/下载：83/0  |  提交时间：2019/06/25
	A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices 期刊论文 IEEE ACCESS, 2016, 卷号: 4, 页码: 2649-2655 作者:  Luo, Xin;  Zhou, Mengchu;  Shang, Mingsheng;  Li, Shuai;  Xia, Yunni Adobe PDF(9487Kb)  |  收藏  |  浏览/下载：875/1  |  提交时间：2018/03/15 Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system