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Key points detection algorithm for noised data
This works introduces a new algorithm for feature detection in noised data, independently from the dimension of the given data. The algorithm is based on the detection and isolation of large features and its operability is demonstrated in this thesis through the development of two techniques, based...
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Lenguaje: | eng |
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2020
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Acceso en línea: | http://cds.cern.ch/record/2736101 |