Automatic Target Recognition XIX 2009
DOI: 10.1117/12.819272
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Error estimation procedure for large dimensionality data with small sample sizes

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(2 citation statements)
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“…This is a difficult calculation, so data-reduction techniques are commonly used. In [6], the discrete cosine transform is used for dimensionality reduction. The dimensionality of the vectors is reduced to a variety of values.…”
Section: Bayes Error Estimationmentioning
confidence: 99%
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“…This is a difficult calculation, so data-reduction techniques are commonly used. In [6], the discrete cosine transform is used for dimensionality reduction. The dimensionality of the vectors is reduced to a variety of values.…”
Section: Bayes Error Estimationmentioning
confidence: 99%
“…In [5], the effect of image resolution on classification performance was studied. In [6], statistical separability tests were used to estimate classification performance. In all of those papers, the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset was used.…”
Section: Introductionmentioning
confidence: 99%