19 citations · 36 across the 6 of their papers we have counts for
2 papers
cs.CV2016★ 2 cited
A Fast Factorization-based Approach to Robust PCA
Chong Peng, Zhao Kang, Qiang Chen
Robust principal component analysis (RPCA) has been widely used for recovering low-rank matrices in many data mining and machine learning problems. It separates a data matrix into…
cs.IR2016★ 19 cited
Top-N Recommendation on Graphs
Zhao Kang, Chong Peng, Ming Yang +1
Recommender systems play an increasingly important role in online applications to help users find what they need or prefer. Collaborative filtering algorithms that generate predict…