Invention Grant
- Patent Title: Method and system for classifying an input data set using multiple data representation source modes
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Application No.: US16791740Application Date: 2020-02-14
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Publication No.: US10943099B2Publication Date: 2021-03-09
- Inventor: Nathaniel Jackson Short , Srinivasan Rajaraman , Jonathan M. Levitt
- Applicant: BOOZ ALLEN HAMILTON INC.
- Applicant Address: US VA McLean
- Assignee: BOOZ ALLEN HAMILTON INC.
- Current Assignee: BOOZ ALLEN HAMILTON INC.
- Current Assignee Address: US VA McLean
- Agency: Buchanan Ingersoll & Rooney PC
- Main IPC: G06K9/00
- 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.
Public/Granted literature
- US20200302157A1 METHOD AND SYSTEM FOR CLASSIFYING AN INPUT DATA SET USING MULTIPLE DATA REPRESENTATION SOURCE MODES Public/Granted day:2020-09-24
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