Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-12-25
2007-12-25
Mehta, Bhavesh M (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S224000
Reexamination Certificate
active
10293349
ABSTRACT:
A method and computer program product are disclosed for automatically encoding a complex system architecture for a pattern recognition classifier. A plurality of subclassifier states are defined as a plurality of sets of state variables, each set of variables corresponding to a subclassifier state. A set of rules are then determined for a state machine governing transitions between the plurality of subclassifier states. The plurality of sets of state variables and the determined rules are encoded into a configuration file. This configuration file is provided to a generic classifier system, including a state machine and a predefined generic classifier object.
REFERENCES:
patent: 4481665 (1984-11-01), Ota
patent: 4773099 (1988-09-01), Bokser
patent: 5239594 (1993-08-01), Yoda
patent: 5339430 (1994-08-01), Lundin et al.
patent: 5386568 (1995-01-01), Wold et al.
patent: 5428791 (1995-06-01), Andrew et al.
patent: 5898872 (1999-04-01), Richley
Duda, Richard O.; Pattern Classification; c. 2001;Wiley-Interscience Publishing; Second Edition; p. 9-18 & p. 394-413.
Call Charles
Reitz, II Elliott D.
Tillotson Dennis A.
Lockheed Martin Corporation
Mehta Bhavesh M
Schaffer Jonathan
Tarolli, Sundheim Covell & Tummino LLP
LandOfFree
Automatic encoding of a complex system architecture in a... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Automatic encoding of a complex system architecture in a..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatic encoding of a complex system architecture in a... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3840528