ResearchTrend.AI
An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction

An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction

Jia-Wei Mi
Hao Wu
ArXiv (abs)PDFHTML

Papers citing "An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction"

3 / 3 papers shown
Title
Truncated Cauchy Non-negative Matrix Factorization
Truncated Cauchy Non-negative Matrix Factorization
Naiyang Guan
Tongliang Liu
Yangmuzi Zhang
Dacheng Tao
L. Davis
35
85
0
02 Jun 2019
Robust subspace clustering by Cauchy loss function
Robust subspace clustering by Cauchy loss function
Xuelong Li
Quanmao Lu
Yongsheng Dong
Dacheng Tao
NoLa
57
67
0
28 Apr 2019
Low-rank Matrix Factorization under General Mixture Noise Distributions
Low-rank Matrix Factorization under General Mixture Noise Distributions
Xiangyong Cao
Qian Zhao
Deyu Meng
Yang Chen
Zongben Xu
39
87
0
06 Jan 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.