Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling

Xingguo Li, Jarvis Haupt

This paper examines the problem of locating outlier columns in a large, otherwise low-rank, matrix. We propose a simple two-step adaptive sensing and inference approach and establi…