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On the Probability of Generating a Primitive Matrix 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 页码: 17
作者:  Chen, Jingwei;  Feng, Yong;  Liu, Yang;  Wu, Wenyuan
收藏  |  浏览/下载：191/0  |  提交时间：2024/04/07
Integer matrix  matrix completion  probabilistic algorithm  unimodular matrix  
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis 期刊论文
Journal of Big Data, 2022, 卷号: 9, 期号: 1
作者:  Li,Qing;  Pang,Guansong;  Shang,Mingsheng
收藏  |  浏览/下载：50/0  |  提交时间：2022/08/22
Big data analysis  Latent factor analysis  Simulated annealing  Differential evolution algorithm  Multi-parameter adaptive  
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：213/0  |  提交时间：2019/01/17
Big data  Recommender systems  Collaborative filtering  Latent factor analysis  Elastic-net  Regularization  Latent factor distribution  
Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu
Adobe PDF(3776Kb)  |  收藏  |  浏览/下载：240/0  |  提交时间：2018/06/04
Object Recognition  Feedforward Neural Nets  Learning (Artificial Intelligence)  Comprehensive Vehicle Attributes  D-cnn  Weighted Multiattribute Strategy  Deep Convolutional Neural Network  Surveillance Images  Vehicle Model Recognition  Make Recognition  Mtl Methods  Multitask Learning  Compcars Vehicle Dataset  Manufacturer Recognition  
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
Extensive exploration of comprehensive vehicle attributes using D- CNN with weighted multi-attribute strategy 期刊论文
IET Intelligent Transport Systems, 2018, 卷号: 12, 期号: 3, 页码: 186-193
作者:  Yan, Zhuo;  Feng, Youji;  Cheng, Cheng;  Fu, Jianting;  Zhou, Xiangdong;  Yuan, Jiahu
Adobe PDF(3688Kb)  |  收藏  |  浏览/下载：109/0  |  提交时间：2019/06/26
Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud 期刊论文
IEEE Access, 2018, 卷号: 6, 页码: 45515-45526
作者:  Kuang, Ping;  Guo, Wenxia;  Xu, Xiang;  Li, Hongjian;  Tian, Wenhong;  Buyya, Rajkumar
Adobe PDF(9609Kb)  |  收藏  |  浏览/下载：99/0  |  提交时间：2019/06/26
Analyzing Energy-Efficiency of Two Scheduling Policies in Compute-Intensive Applications on Cloud 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 45515-45526
作者:  Kuang, Ping;  Guo, Wenxia;  Xu, Xiang;  Li, Hongjian;  Tian, Wenhong;  Buyya, Rajkumar
Adobe PDF(9609Kb)  |  收藏  |  浏览/下载：102/0  |  提交时间：2018/11/01
Cloud Data Centers  Energy-aware Resource Scheduling  The Lower Bound  Energy Efficiency  Modified Interval Scheduling  
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  
A novel cognitive transformation algorithm based on Gaussian cloud model and its application in image segmentation 期刊论文
NUMERICAL ALGORITHMS, 2017, 卷号: 76, 期号: 4, 页码: 1039-1070
作者:  Xu, Chang-Lin;  Wang, Guo-Yin
Adobe PDF(2263Kb)  |  收藏  |  浏览/下载：108/0  |  提交时间：2018/03/05
Cognitive Transformation  Gaussian Cloud Model  Forward Gaussian Cloud Transformation  Backward Gaussian Cloud Transformation  Mean Squared Error  Image Segmentation