公开(公告)号：US10943099B2

公开(公告)日：2021-03-09

申请号：US16791740

申请日：2020-02-14

Applicant: BOOZ ALLEN HAMILTON INC.

Inventor： Nathaniel Jackson Short ,  Srinivasan Rajaraman ,  Jonathan M. Levitt

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/02

Abstract: A computer-implemented method for classifying an input data set within a data category using multiple data representation modes. The method includes identifying at least a first data representation source mode and a second data representation source mode; classifying the at least first data representation source mode via at least a first data recognition tool and the at least second data representation source mode via at least a second data recognition tool, the classifying including allocating a confidence factor for each data representation source mode in the data category; and combining outputs of the classifying into a single output confidence score by using a weighted fusion of the allocated confidence factors.

公开(公告)号：US10936868B2

公开(公告)日：2021-03-02

申请号：US16791675

申请日：2020-02-14

Applicant: Booz Allen Hamilton Inc.

Inventor： Nathaniel Jackson Short ,  Jonathan M. Levitt

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/70

Abstract: A computer-implemented method and system are disclosed for classifying an input data set within a data category using multiple data recognition tools. The method includes identifying at least a first attribute and a second attribute of the data category; classifying the at least first attribute via at least a first data recognition tool and the at least second attribute via at least a second data recognition tool, the classifying including: allocating a confidence factor for each of the at least first and second attributes that indicates a presence of each of the at least first and second attributes in the input data set; and combining outputs of the classifying into a single output confidence score by using a weighted fusion of the allocated confidence factors.