Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques

摘要

Comparing the output of a physics simulation with an experiment is often done by visually comparing the two outputs. In order to determine which simulation is a closer match to the experiment, more quantitative measures are needed. This paper describes our early experiences with this problem by considering the slightly simpler problem of ending objects in a image that are similar to a given query object.