CSpace
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:416/0  |  提交时间:2019/06/26
Fully Convolutional Neural Networks for Tissue Histopathology Image Classification and Segmentation 会议论文
25th IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7, 2018 - October 10, 2018
作者:  Peng, Binbin;  Chen, Lin;  Shang, Mingsheng;  Xu, Jianjun
Adobe PDF(1278Kb)  |  收藏  |  浏览/下载:91/0  |  提交时间:2019/06/25
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:428/0  |  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  
Water eutrophication assessment based on rough set and multidimensional cloud model 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 卷号: 164, 页码: 103-112
作者:  Yan, Huyong;  Wu, Di;  Huang, Yu;  Wang, Guoyin;  Shang, Mingsheng;  Xu, Jianjun;  Shi, Xiaoyu;  Shan, Kun;  Zhou, Botian;  Zhao, Yufei
Adobe PDF(2910Kb)  |  收藏  |  浏览/下载:115/0  |  提交时间:2018/03/05
Eutrophication  Rough set  Multidimensional cloud model  
An AP-Based Shilling Attack Detector for Collaborative Filtering Recommendation Systems 期刊论文
JOURNAL OF INTERNET TECHNOLOGY, 2017, 卷号: 18, 期号: 5, 页码: 985-993
作者:  Wang, Qingxian;  Wan, Meng;  Shang, Mingsheng;  Cai, Shimin
收藏  |  浏览/下载:74/0  |  提交时间:2018/03/05
Collaborative Filtering  Shilling Attack Detection  Affinity Propagation Clustering  Collective Level  
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:881/1  |  提交时间:2018/03/15
Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system