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  • Search: subject:"Binarization"
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Year of publication
Subject
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Binarization 5 Discretization 2 Piecewise linear approximation 2 Quadratic programming 2 Chvátal rank 1 Column generation 1 Extended formulation 1 Global Thresholding 1 Local Thresholding 1 MIP Relaxations 1 MIP relaxations 1 Niblack 1 Otsu 1 Supervised classification 1 Support vector machines 1 Variable Window 1 analytic philosophy 1 impossibility theorem on binarization 1 judgment aggregation 1 subjective probability 1 yes/no belif 1
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Online availability
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Free 6
Type of publication
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Article 4 Book / Working Paper 2
Type of publication (narrower categories)
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Article 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 4 Undetermined 2
Author
All
Beach, Benjamin 2 Burlacu, Robert 2 Bärmann, Andreas 2 Hager, Lukas 2 Hildebrand, Robert 2 Boiangiu, Costin-Anton 1 Bucur, Ion 1 Carrizosa, Emilio 1 Cornuéjols, Gérard 1 Dietrich, Franz 1 List, Christian 1 Martín-Barragán, Belén 1 Morales, Dolores Romero 1 Patil, Vrishabh 1 Tigora, Andrei 1
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Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Computational Optimization and Applications 2 MPRA Paper 1 Operations research letters : a journal of INFORMS devoted to the rapid publication of concise contributions in operations research 1 Romanian Economic Business Review 1 Statistics and Econometrics Working Papers 1
Source
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RePEc 3 EconStor 2 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: Part I
Beach, Benjamin; Burlacu, Robert; Bärmann, Andreas; … - In: Computational Optimization and Applications 87 (2024) 3, pp. 835-891
We study mixed-integer programming (MIP) relaxation techniques for the solution of non-convex mixed-integer quadratically constrained quadratic programs (MIQCQPs). We present MIP relaxation methods for non-convex continuous variable products. In this paper, we consider MIP relaxations based on...
Persistent link: https://www.econbiz.de/10015361670
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Enhancements of discretization approaches for non-convex mixed-integer quadratically constrained quadratic programming: Part II
Beach, Benjamin; Burlacu, Robert; Bärmann, Andreas; … - In: Computational Optimization and Applications 87 (2024) 3, pp. 893-934
This is Part II of a study on mixed-integer programming (MIP) relaxation techniques for the solution of non-convex mixed-integer quadratically constrained quadratic programs (MIQCQPs). We set the focus on MIP relaxation methods for non-convex continuous variable products where both variables are...
Persistent link: https://www.econbiz.de/10015361673
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Reducing the Chvátal rank through binarization
Cornuéjols, Gérard; Patil, Vrishabh - In: Operations research letters : a journal of INFORMS … 54 (2024), pp. 1-4
Persistent link: https://www.econbiz.de/10015049306
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From degrees of belief to beliefs: Lessons from judgment-aggregation theory
Dietrich, Franz; List, Christian - Volkswirtschaftliche Fakultät, … - 2014
function of the former, without running into paradoxes? We reassess this “belief-binarization” problem from the perspective of … judgmentaggregation theory. Although some similarities between belief binarization and judgment aggregation have been noted before, the … belief binarization. We seek to fill this gap. At the centre of this paper is an impossibility theorem showing that, except …
Persistent link: https://www.econbiz.de/10011110406
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THE IMAGE BINARIZATION PROBLEM REVISITED: PERSPECTIVES AND APPROACHES
Boiangiu, Costin-Anton; Bucur, Ion; Tigora, Andrei - In: Romanian Economic Business Review 6 (2012) 2, pp. 419-427
Image document analysis is a complex process that involves several steps of processing. However, due to their sensitivity to errors, most of these are not applied on the original image; instead, they use a simplified black and white version of the original image, which offers a clear separation...
Persistent link: https://www.econbiz.de/10010618199
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Binarized support vector machines
Carrizosa, Emilio; Martín-Barragán, Belén; Morales, … - Departamento de Estadistica, Universidad Carlos III de … - 2007
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in Data...
Persistent link: https://www.econbiz.de/10008513119
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