Prediction error filters to enhance differences

Abstract:

Prediction Error Filters (PEFs) capture the covariance of a dataset. In this paper I use PEFs to quantify and highlight difference between two volumes. A series of PEFs are estimated on one volume and then applied to a second. The resulting hypercube is an indicator of where, and how much, two volumes differ.