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Algorithm Performan...
Algorithm Performance Contest
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- Aksoy, Selim (författare)
- Intelligent Systems Laboratory, University of Washington, Seattle, USA
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- Ming, Ye (författare)
- Intelligent Systems Laboratory, University of Washington, Seattle, USA
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- Schauf, Michael L. (författare)
- Intelligent Systems Laboratory, University of Washington, Seattle, USA
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- Song, Mingzhou (författare)
- Intelligent Systems Laboratory, University of Washington, Seattle, USA
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- Wang, Yalin (författare)
- n/a,Intelligent Systems Laboratory, University of Washington, Seattle, USA
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- Haralick, Robert M. (författare)
- Intelligent Systems Laboratory, University of Washington, Seattle, USA
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- Parker, Jim R. (författare)
- University of Calgary, Dept. of Computer Science, Calgary, Canada
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- Pivovarov, Juraj (författare)
- University of Calgary, Dept. of Computer Science, Calgary, Canada
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- Royko, Dominik (författare)
- University of Calgary, Dept. of Computer Science, Calgary, Canada
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- Sun, Changming (författare)
- CSIRO Mathematical and Information Sciences, Australia
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- Farnebäck, Gunnar (författare)
- Linköpings universitet,Tekniska högskolan,Bildbehandling
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(creator_code:org_t)
- IEEE, 2000
- 2000
- Engelska.
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Ingår i: Proceedings. 15th International Conference on Pattern Recognition, 2000. - : IEEE. - 0769507506 ; , s. 870-876
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This contest involved the running and evaluation of computer vision and pattern recognition techniques on different data sets with known groundwidth. The contest included three areas; binary shape recognition, symbol recognition and image flow estimation. A package was made available for each area. Each package contained either real images with manual groundtruth or programs to generate data sets of ideal as well as noisy images with known groundtruth. They also contained programs to evaluate the results of an algorithm according to the given groundtruth. These evaluation criteria included the generation of confusion matrices, computation of the misdetection and false alarm rates and other performance measures suitable for the problems. The paper summarizes the data generation for each area and experimental results for a total of six participating algorithms
Nyckelord
- TECHNOLOGY
- TEKNIKVETENSKAP
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Aksoy, Selim
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Ming, Ye
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Schauf, Michael ...
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Song, Mingzhou
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Wang, Yalin
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Haralick, Robert ...
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visa fler...
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Parker, Jim R.
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Pivovarov, Juraj
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Royko, Dominik
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Sun, Changming
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Farnebäck, Gunna ...
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visa färre...
- Artiklar i publikationen
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Proceedings. 15t ...
- Av lärosätet
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Linköpings universitet