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Search results for: THRESHOLDING STRATEGIES
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Thresholding Strategies for Large Scale Multi-Label Text Classifier
PublicationThis article presents an overview of thresholding methods for labeling objects given a list of candidate classes’ scores. These methods are essential to multi-label classification tasks, especially when there are a lot of classes which are organized in a hierarchy. Presented techniques are evaluated using the state-of-the-art dedicated classifier on medium scale text corpora extracted from Wikipedia. Obtained results show that the...
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From Scores to Predictions in Multi-Label Classification: Neural Thresholding Strategies
PublicationIn this paper, we propose a novel approach for obtaining predictions from per-class scores to improve the accuracy of multi-label classification systems. In a multi-label classification task, the expected output is a set of predicted labels per each testing sample. Typically, these predictions are calculated by implicit or explicit thresholding of per-class real-valued scores: classes with scores exceeding a given threshold value...
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Strategies
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Comparison of thresholding algorithms for automatic overhead line detection procedure
PublicationThe article presents an overview of the thresholding algorithms. It compares the algorithms proposed by Pun, Kittler, Niblack, Huang, Rosenfeld, Remesh, Lloyd, Riddler, Otsu, Yanni, Kapur and Jawahar. Additionally, it was tested how the tuning of the Pun, Jawahar and Niblack methods affects the thresholding efficiency and proposed a combination of the Pun algorithm with a priori algorithm. All presented algorithms have been implemented...
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(Post)Mining Regions in the EU: Challenges, Policies, Strategies / Dawne okręgi górnicze w Unii Europejskiej: wyzwania, polityki, strategie.
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Diamonds in the Mine. Strategies for the Cities in the Silesian Metropolitan Region. / Diamenty w kopalni. Strategie rozwoju dla miast śląskiego regionu metropolitalnego.
PublicationJan Olbrycht, poseł do Parlamentu Europejakiego, w swojej działalności związanej z rozwojem miast współpracuje z Towarzystwem Urbanistów Polskich, jednym z najstarszych stowarzyszeń urbanistów w Europie, które aktywnie działa od 1923 roku. Miałam przyjemność i zaszczyt reprezentować Zarząd Główny Towarzystwa w naszych ostatnich wspólnych przedsięwzięciach. W roku 2016 po konferencji „Miasto - Zarządzanie Miastem” corocznie...
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Thresholding Methods for Reduction in Data Processing Errors in the Laser-Textured Surface Topography Measurements
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Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data
PublicationInundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...
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ERP migration strategies
PublicationPresja rynku na sferę produkcji i logistyki wymusza w niej przechodzenie do efektywnych i optymalnych kosztowo aplikacji IT. Niniejszy artykuł pokazuje zmiany paradygmatu projektowania i eksploatacji systemów ERP (Enterprise Resource Planning) koncentrując się na strategiach migracyjnych, niezbędnych w dynamicznym środowisku biznesowym. Dokonano analizy porównawczej wybranych zastosowań informatyki w przedmiotowym obszarze, akcentując...
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Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network
PublicationIntroduction: Alzheimer’s Disease (AD) is a degenerative brain disorder characterized by cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the mortality rate through slowing down its progression. The prevention and detection of AD is the emerging research topic for many researchers. The structural Magnetic Resonance Imaging (sMRI) is an extensively used imaging technique in detection of AD, because...