142 citations · 404 across the 25 of their papers we have counts for
5 papers · 1 filter
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…
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
Chong Peng, Chenglizhao Chen, Zhao Kang +2
Robust principal component analysis (RPCA) has drawn significant attentions due to its powerful capability in recovering low-rank matrices as well as successful appplications in va…
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data
Chong Peng, Qiang Cheng
We introduce a discriminative regression approach to supervised classification in this paper. It estimates a representation model while accounting for discriminativeness between cl…
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In current clinical practices, electroencephalograms (EEG) are reviewed and analyzed by trained neurologists to provide supports for therapeutic decisions. Manual reviews can be la…