4 papers
Hybrid second-order gradient histogram based global low-rank sparse regression for robust face recognition
Hongxia Li, Ying Ji, Yongxin Dong +1
Low-rank sparse regression models have been widely adopted in face recognition due to their robustness against occlusion and illumination variations. However, existing methods ofte…
Enhanced preprocessed multi-step splitting iterations for computing PageRank
Guangcong Meng, Yuehua Feng, Yongxin Dong
In recent years, the PageRank algorithm has garnered significant attention due to its crucial role in search engine technologies and its applications across various scientific fiel…
On computing HITS ExpertRank via lumping the hub matrix
Yongxin Dong, Yuehua Feng, Jianxin You
The dangling nodes is the nodes with no out-links in the web graph. It saves many computational cost and operations provided the dangling nodes are lumped into one node. In this pa…
Comments on lumping the Google matrix
Yongxin Dong, Yuehua Feng, Jianxin You +1
On the case that the number of dangling nodes is large, PageRank computation can be proceeded with a much smaller matrix through lumping all dangling nodes of a web graph into a si…