Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-06-19
2007-06-19
Mancuso, Joseph (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S225000
Reexamination Certificate
active
10294859
ABSTRACT:
A method and computer program product are disclosed for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a pattern recognition system architecture. A plurality of input patterns, determined not to be associated with any of a set of at least one represented output class by a pattern recognition classifier, are rejected. The rejected pattern samples are grouped into clusters according to the similarities between the pattern samples. Clusters that contain samples associated with a represented output class are identified via independent review. The classifier is then retrained to recognize the identified clusters as output pseudoclasses separate from the represented output class with which they are associated. The system architecture is reorganized to incorporate the output pseudoclasses. The output pseudoclasses are rejoined to their associated class after classification.
REFERENCES:
patent: 4481665 (1984-11-01), Ota
patent: 4551851 (1985-11-01), Kochert
patent: 5077807 (1991-12-01), Bokser
patent: 5239594 (1993-08-01), Yoda
patent: 5347595 (1994-09-01), Bokser
patent: 5465308 (1995-11-01), Hutcheson et al.
patent: 5479570 (1995-12-01), Imagawa et al.
patent: 5542006 (1996-07-01), Shustorovich et al.
patent: 5548697 (1996-08-01), Zortea
patent: 5719692 (1998-02-01), Cohen
patent: 5778152 (1998-07-01), Oki et al.
patent: 7164791 (2007-01-01), Cecala et al.
Teuvo Kohonen, The Self-Organizing Map, 1990, Proceedings of the IEEE, vol. 78, No. 9, p. 1464-1480.
U.S. Cecala et al, U.S. Appl. No. 10/208,447, filed Jul. 30, 2002 for Method and Computer Program Product for Identifying and Incorporating New Output Classes in a Pattern Recognition System During System Operation.
Li David L.
Reitz, II Elliott D.
Tillotson Dennis A.
Lockheed Martin Corporation
Mancuso Joseph
Schaffer Jonathan
Tarolli, Sundheim Covell & Tummino LLP
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