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New subspace methods for ATR
Peng Zhang
,
Jing Peng
, S. Richard F. Sims
Computer Science
Research output
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Contribution to journal
›
Conference article
›
peer-review
Overview
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Engineering
Gaussians
100%
Subspace Method
100%
Limitations
50%
Error Rate
50%
Bayesian Classifier
50%
Covariance Matrix
50%
Compact Representation
50%
Scatter Matrix
50%
Bayes Error
50%
Keyphrases
Subspace Methods
100%
Fukunaga-Koontz Transform
100%
Gaussian Distribution
33%
Dimensionality Reduction
16%
Subspace Representation
16%
Image Data
16%
IR Data
16%
Scattering Matrix
16%
Discriminant Features
16%
Character Image
16%
Optimal Subspaces
16%
Clutter Covariance Matrix
16%
Compact Representation
16%
Bayes Error
16%
Optimal Bayesian Classifier
16%
Mathematics
Gaussian Distribution
100%
Matrix (Mathematics)
50%
Convolution
50%
Bayes Error Rate
50%
Covariance Matrix
50%
Bayesian Classifier
50%
Bayesian
50%