Sampling involves selecting a subset from a population for analysis, vital in market research, financial audits, and reducing ...

Abstract: In data mining, large differences between multi-class distributions regarded as class imbalance issues have been known to hinder the classification performance. Unfortunately, existing ...

Abstract: We propose a framework for generalized sampling of graph signals that parallels sampling in shift invariant (SI) subspaces. This framework allows for arbitrary input signals which are not ...