公开(公告)号：US10460252B2

公开(公告)日：2019-10-29

申请号：US15053959

申请日：2016-02-25

Applicant: Raytheon Company

Inventor： Paul C. Hershey ,  Richard Radcliffe ,  Brianne R. Hoppes

IPC: G06F17/30 ,  G06N7/00 ,  G06N20/00 ,  G06F16/29 ,  G06F16/583

Abstract: A system and method improves the probability of correctly detecting an object from a collection of source data and reduces the processing load. A plurality of algorithms for a given data type are selected and ordered based on a cumulative trained probability of correctness (Pc) that each of the algorithms, which are processed in a chain and conditioned upon the result of the preceding algorithms, produce a correct result and a processing. The algorithms cull the source data to pass forward a reduced subset of source data in which the conditional probability of detecting the object is higher than the a priori probability of the algorithm detecting that same object. The Pc and its confidence interval is suitably computed and displayed for each algorithm and the chain and the final object detection.

公开(公告)号：US20170200090A1

公开(公告)日：2017-07-13

申请号：US15053959

申请日：2016-02-25

Applicant: Raytheon Company

Inventor： Paul C. Hershey ,  Richard Radcliffe ,  Brianne R. Hoppes

IPC: G06N7/00 ,  G06N99/00

CPC classification number: G06N7/005 ,  G06F16/29 ,  G06F16/5854 ,  G06N20/00

Abstract: A system and method improves the probability of correctly detecting an object from a collection of source data and reduces the processing load. A plurality of algorithms for a given data type are selected and ordered based on a cumulative trained probability of correctness (Pc) that each of the algorithms, which are processed in a chain and conditioned upon the result of the preceding algorithms, produce a correct result and a processing. The algorithms cull the source data to pass forward a reduced subset of source data in which the conditional probability of detecting the object is higher than the a priori probability of the algorithm detecting that same object. The Pc and its confidence interval is suitably computed and displayed for each algorithm and the chain and the final object detection.