Share Email Print

Proceedings Paper

Learning in adaptive vision systems
Author(s): Kamran Reihani; Wiley E. Thompson
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The problem of learning in adaptive vision systems is considered here. This study explores the spatial and deductive reasoning aspects of the system by case-based techniques, as it computes (1) the invisibility justification of a bird's eye, and (2) generalization and expansion of the gained knowledge in (1). The method presented manipulates symbolic entities, each with values, properties, and constrained relationships to other symbolic entities, to learn to create new knowledge from the existing knowledge.

Paper Details

Date Published: 1 September 1993
PDF: 9 pages
Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); doi: 10.1117/12.150580
Show Author Affiliations
Kamran Reihani, New Mexico State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)

Published in SPIE Proceedings Vol. 1962:
Adaptive and Learning Systems II
Firooz A. Sadjadi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?