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Method of geometric linear discriminant analysis pattern recognition

Patent image
NSA

Feature attributes are extracted from an observation space to create feature vectors for each class to be identified. A linear transformation matrix is used to reduce the dimension of the feature vectors. A numerical optimization algorithm maximizes a geometric criterion function in order to calculate the linear transformation matrix, where it exploits the geometry of the class contours of constant density. Next, a classifier based on the feature vectors in a lower dimension is generated and a class is determined for the data represented.

Inventors: 
Ordowski, Mark Lawrence; Meyer, Gerard G. L.
Patent Number: 
Technical domain: 
IT and Software
FIle Date: 
2002-04-30
Grant Date: 
2006-03-07
Grant time: 
1,407 days
Grant time percentile rank: 
25
Claim count percentile rank: 
11
Citations percentile rank: 
1
'Cited by' percentile rank: 
3
Assignee: 
NATIONAL SECURITY AGENCY