Image analysis – Pattern recognition – Classification
Reexamination Certificate
2007-12-04
2007-12-04
Bella, Matthew C. (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S228000
Reexamination Certificate
active
10717361
ABSTRACT:
A method classifies data into multiple classes so that the data in each class have a class-conditional probability distribution. The class-conditional probability distributions of measured data are projected into a likelihood space. The projected class-conditional probability distributions in the likelihood space are then classified according to a discriminant classifier in likelihood space.
REFERENCES:
patent: 4246570 (1981-01-01), Kochert et al.
patent: 4773099 (1988-09-01), Bosker
patent: 5060277 (1991-10-01), Bosker
patent: 5181259 (1993-01-01), Rorvig
patent: 5337371 (1994-08-01), Sato et al.
patent: 5505057 (1996-04-01), Sato et al.
patent: 5754681 (1998-05-01), Watanabe et al.
patent: 5870729 (1999-02-01), Yoda
patent: 6058205 (2000-05-01), Bahl et al.
patent: 6532305 (2003-03-01), Hammen
patent: 2001/0044719 (2001-11-01), Casey
Ramakrishnan Bhiksha
Singh Rita
Bella Matthew C.
Brinkman Dirk
Liew Alex
Mitsubishi Electric Research Laboratories Inc.
Mueller Clifton D.
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