Adaptive statistical classifier which provides reliable estimate

Details Adaptive statistical classifier which provides reliable estimate Adaptive statistical classifier which provides reliable estimate

1995-08-08

1998-09-08

Shalwala, Bipin

Image analysis

Pattern recognition

Classification

382157, 382159, 382220, 382227, G06K 962, G06K 974, G06K 968, G06K 970

Patent

active

058057315

ABSTRACT:
A statistical classifier for pattern recognition, such as a neural network, produces a plurality of output signals corresponding to the probabilities that a given input pattern belongs in respective classes. The classifier is trained in a manner such that low probabilities which pertain to classes of interest are not suppressed too greatly. This is achieved by modifying the amount by which error signals, corresponding to classes which are incorrectly identified, are employed in the training process, relative to error signals corresponding to the correct class. As a result, output probabilities for incorrect classes are not forced to a low value as much as probabilities for correct classes are raised.

REFERENCES:
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patent: 5204914 (1993-04-01), Mason et al.
patent: 5337371 (1994-08-01), Sato et al.
patent: 5392363 (1995-02-01), Fujisaki et al.
patent: 5555317 (1996-09-01), Anderson
patent: 5577166 (1996-11-01), Mizuno

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