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  • Search: subject:"Classifier Comparison"
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Year of publication
Subject
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Classifier Comparison 2 Average Accuracy Rate 1 Fractal Dimension 1 Handwritten Script Identification 1 Interpolated Morphological Transform 1 Iterative Majorization 1 Line-Level Document 1 MLP Neural Network 1 MM Algorithm 1 Model Building Time 1 Multiclass Classification 1 OCR 1 Performance Analysis 1 Support Vector Machines (SVMs) 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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English 1 Undetermined 1
Author
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Das, Nibaran 1 Groenen, Patrick 1 Halder, Chayan 1 Obaidullah, Sk Md 1 Roy, Kaushik 1 van den Burg, G.J.J. 1
Institution
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Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
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Econometric Institute Research Papers 1 International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) 1
Source
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RePEc 1 Other ZBW resources 1
Showing 1 - 2 of 2
Cover Image
GenSVM: A Generalized Multiclass Support Vector Machine
Groenen, Patrick; van den Burg, G.J.J. - Faculteit der Economische Wetenschappen, Erasmus … - 2014
__Abstract__ Traditional extensions of the binary support vector machine (SVM) to multiclass problems are either heuristics or require solving a large dual optimization problem. Here, a generalized multiclass SVM called GenSVM is proposed, which can be used for classification problems where the...
Persistent link: https://www.econbiz.de/10011185632
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Cover Image
Bangla and Oriya Script Lines Identification from Handwritten Document Images in Tri-script Scenario
Obaidullah, Sk Md; Halder, Chayan; Das, Nibaran; Roy, … - In: International Journal of Service Science, Management, … 7 (2016) 1, pp. 43-60
In this paper, two popular eastern Indian scripts namely Bangla and Oriya are considered for Line-level script identification considering two Tri-script groups where Devnagari and Roman are kept common in each group. A 27 dimensional feature vector has been constructed using FD (Fractal...
Persistent link: https://www.econbiz.de/10012048094
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