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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	Distinguishing two phenotypes of blooms using the normalised difference peak-valley index (NDPI) and Cyano-Chlorophyta index (CCI) 期刊论文 SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 628-629, 页码: 848-857 作者:  Zhou, Botian;  Shang, Mingsheng;  Wang, Guoyin;  Zhang, Sheng;  Feng, Li;  Liu, Xiangnan;  Wu, Ling;  Shan, Kun Adobe PDF(4522Kb)  |  收藏  |  浏览/下载：250/0  |  提交时间：2018/07/26 Remote Sensing  Cyanobacteria  Green Algae  Normalised Difference Peak-valley Index  Cyano-chlorophyta Index  Three Gorges Reservoir
	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：413/0  |  提交时间：2019/06/26
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：425/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network
	Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems 会议论文 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16, 2017 - May 18, 2017 作者:  Yuan, Ye;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi Adobe PDF(717Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2018/03/16
	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：871/1  |  提交时间：2018/03/15 Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system