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Pattern TheoryFrom representation to inference$
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Ulf Grenander and Michael I. Miller

Print publication date: 2006

Print ISBN-13: 9780198505709

Published to Oxford Scholarship Online: November 2020

DOI: 10.1093/oso/9780198505709.001.0001

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Estimation Bounds for Automated Object Recognition

Estimation Bounds for Automated Object Recognition

Chapter:
(p.378) 13 Estimation Bounds for Automated Object Recognition
Source:
Pattern Theory
Author(s):

Ulf Grenander

Michael I. Miller

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198505709.003.0014

Thus far we have only studied representations of the source. Now we add the channel, pushing us into the frameworks of estimate then examine estimation bounds for understanding rigid object recognition involving the low-dimensional matrix groups. Minimum-mean-squared error bounds are derived for recognition and identification.

Keywords:   Euclidean metric, PRISM simulator software, characteristic functional, covariance operators, detection, joint characteristic function, photometric space

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