On the use of error propagation for statistical validation of computer vision software
Computer vision software is complex, involving many tens of thousands of lines of code. Coding mistakes are not uncommon. When the vision algorithms are run on controlled data which meet all the algorithm assumptions, the results are often statistically predictable. This renders it possible to stati...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 27(2005), 10 vom: 10. Okt., Seite 1603-14 |
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| Format: | Aufsatz |
| Sprache: | English |
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2005
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S. |