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Proceedings Paper

Pattern Recognition And Classification: An Information Theory Approach
Author(s): AARON N. SILVER
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Paper Abstract

The application of Shannon's information metric is considered within the context of specifying physically realizable economic and technologic performance constraints, such as the maximization of returned information (bits/dollars), or the minimization of expected informational redundancy. The robustness of the selected doctrine is examined as a function of the classification resolution, and the marginal effects, e.g., entropies, of additional data sets (or observation variables) are also investigated relative to the enhancement of the discrimination surfaces.

Paper Details

Date Published: 9 December 1969
PDF: 14 pages
Proc. SPIE 0018, Pattern Recognition Studies I, (9 December 1969); doi: 10.1117/12.946828
Show Author Affiliations
AARON N. SILVER, Martin Marietta Corporation (United States)

Published in SPIE Proceedings Vol. 0018:
Pattern Recognition Studies I

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