Reference : A sorting optimization curve with quality and yield requirements
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/32218
A sorting optimization curve with quality and yield requirements
English
Ooms, David mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Palm, Rodolphe mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Leemans, Vincent mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Destain, Marie-France mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Jul-2010
Pattern Recognition Letters
Elsevier Science
31
9
983-990
Yes (verified by ORBi)
International
0167-8655
[en] Binary classification ; Classifier optimization ; ROC ; SOC ; Sorting ; Threshold
[en] Binary classifiers used for sorting can be compared and optimized using receiver-operating characteristic (ROC) curves which describe the trade-off between the false positive rate and true positive rate of the classifiers. This approach is well suited for the diagnosis of human diseases where individual costs of misclassification are of great concern. While it can be applied to the sorting of merchandise or other materials, the variables described by the ROC curve and its existing alternatives are less relevant for that range of applications and another approach is needed. In this paper, quality and yield factors are introduced into a sorting optimization curve (SOC) for the choice of the operating point of the classifier, associated with the prediction of output quantity and quality. Given examples are the sorting of seeds and apples with specific requirements. In both cases the operating point of the classifier is easily chosen on the SOC, while the output characteristics of the sorted product are accurately predicted.
D.G.T.R.E (General Directorate of Technology, Research and Energy) of the Walloon Region, Belgium, following a European project "First-Europe, Objective 1"
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/32218

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