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- W1484401880 abstract "The differences in performance of a range of interest operators are examined in a null hypothesis framework using McNemar’s test on a widely-used database of images, to ascertain whether these apparent differences are statistically significant. It is found that some performance differences are indeed statistically significant, though most of them are at a fairly low level of confidence, i.e. with about a 1-in-20 chance that the results could be due to features of the evaluation database. A new evaluation measure i.e. accurate homography estimation is used to characterize the performance of feature extraction algorithms.Results suggest that operators employing longer descriptors are more reliable." @default.
- W1484401880 created "2016-06-24" @default.
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- W1484401880 date "2011-01-01" @default.
- W1484401880 modified "2023-09-25" @default.
- W1484401880 title "Are Performance Differences of Interest Operators Statistically Significant?" @default.
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- W1484401880 doi "https://doi.org/10.1007/978-3-642-23678-5_51" @default.
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