Ke Ma

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size

2019 · IEEE Transactions on Knowledge and Data Engineering

Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing methods are based on semi-definite programming (SDP), which is generally time-consuming and degrades the scalability, …

Application of dynamic association rules in network data mining

2020 · 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)

Under the background of Internet big data era, the amount of data information in all walks of life is increasing day by day. How to filter, mine and manage different kinds of data information has …