2 papers
cs.LG2019
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering
Di Xu, Tianhang Long, Junbin Gao
Massive volumes of high-dimensional data that evolves over time is continuously collected by contemporary information processing systems, which brings up the problem of organizing…
cs.LG2019
Sparse Least Squares Low Rank Kernel Machines
Di Xu, Manjing Fang, Xia Hong +1
A general framework of least squares support vector machine with low rank kernels, referred to as LR-LSSVM, is introduced in this paper. The special structure of low rank kernels w…