Invention Grant
US08014591B2 Robust pattern recognition system and method using socratic agents
有权
强大的图案识别系统和方法,使用沉重的代理
- Patent Title: Robust pattern recognition system and method using socratic agents
- Patent Title (中): 强大的图案识别系统和方法,使用沉重的代理
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Application No.: US11898636Application Date: 2007-09-13
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Publication No.: US08014591B2Publication Date: 2011-09-06
- Inventor: James K. Baker
- Applicant: James K. Baker
- Applicant Address: US FL Maitland
- Assignee: Aurilab, LLC
- Current Assignee: Aurilab, LLC
- Current Assignee Address: US FL Maitland
- Agency: Foley & Lardner LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F17/00 ; G06N5/00

Abstract:
A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
Public/Granted literature
- US20080069437A1 Robust pattern recognition system and method using socratic agents Public/Granted day:2008-03-20
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