41 citations · 71 across the 4 of their papers we have counts for
6 papers
Nonnegative Matrix Factorization with Local Similarity Learning
Chong Peng, Zhao Kang, Chenglizhao Chen +1
Existing nonnegative matrix factorization methods focus on learning global structure of the data to construct basis and coefficient matrices, which ignores the local structure that…
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In current clinical practice, electroencephalograms (EEG) are reviewed and analyzed by well-trained neurologists to provide supports for therapeutic decisions. The way of manual re…
Unified Spectral Clustering with Optimal Graph
Zhao Kang, Chong Peng, Qiang Cheng +1
Spectral clustering has found extensive use in many areas. Most traditional spectral clustering algorithms work in three separate steps: similarity graph construction; continuous l…
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Zhao Kang, Chong Peng, Qiang Cheng
Many similarity-based clustering methods work in two separate steps including similarity matrix computation and subsequent spectral clustering. However, similarity measurement is c…
Top-N Recommendation with Novel Rank Approximation
Zhao Kang, Qiang Cheng
The importance of accurate recommender systems has been widely recognized by academia and industry. However, the recommendation quality is still rather low. Recently, a linear spar…
LogDet Rank Minimization with Application to Subspace Clustering
Zhao Kang, Chong Peng, Jie Cheng +1
Low-rank matrix is desired in many machine learning and computer vision problems. Most of the recent studies use the nuclear norm as a convex surrogate of the rank operator. Howeve…