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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
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  
Landmark perturbation-based data augmentation for unconstrained face recognition 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2016, 卷号: 47, 页码: 465-475
作者:  Lv, Jiang-Jing;  Cheng, Cheng;  Tian, Guo-Dong;  Zhou, Xiang-Dong;  Zhou, Xi
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载：66/0  |  提交时间：2018/03/15
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
Adobe PDF(751Kb)  |  收藏  |  浏览/下载：85/0  |  提交时间：2018/03/15
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition