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Bias in hotelling observer performance computed from finite data
Matthew A. Kupinski
, Eric Clarkson
, Jacob Y. Hesterman
Medical Imaging
BIO5, Institute of
Optical Sciences
Applied Mathematics - GIDP
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
16
Scopus citations
Overview
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Keyphrases
Detector Noise
100%
Hotelling
100%
Test Statistic
75%
Large Covariance Matrix
50%
Noise Component
50%
Full Covariance Matrix
25%
Linear Observer
25%
Covariance Decomposition
25%
Estimation Bias
25%
Variability Factor
25%
Detection Task
25%
Full Rank
25%
Background Variability
25%
Covariance Matrix Decomposition
25%
Invertible
25%
Mathematics
Test Statistic
60%
Matrix Decomposition
20%
Single Number
20%
Covariance
20%
Diagonal
20%
Computer Science
Covariance Matrix
100%
Simulation Study
20%
Earth and Planetary Sciences
Covariance
100%
Low Noise
16%