Matches in SemOpenAlex for { <https://semopenalex.org/work/W2310964472> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2310964472 abstract "In this paper an ensemble model is proposed for the recognition of Odia handwritten character. The ensemble model is constructed from four base classifiers: Support Vector Machine (SVM), Artificial Neural Network (ANN), C5.0 Decision Tree and Discriminant Analysis (DA). Gradient and curvature based features are extracted from the numerals and a combination of gradient and curvature based features is taken for simulation. The features are reduced by using Principal Component Analysis (PCA). First the numerals are classified by the individual classifiers. Then the ensemble models are formed with all possible combinations. The outputs of the classifiers are combined by using confidential weighted scheme to obtain ensemble models. The classification results obtained from individual classifier and all ensemble models are compared. It is observed that the ensemble of SVM+DA and SVM+C5.0+DA outperformed well each with 97.5% of accuracy on test dataset as compared for other eight ensemble models." @default.
- W2310964472 created "2016-06-24" @default.
- W2310964472 creator A5063573474 @default.
- W2310964472 creator A5068137088 @default.
- W2310964472 date "2015-10-01" @default.
- W2310964472 modified "2023-09-23" @default.
- W2310964472 title "Performance comparison of ensemble models for recognition of offline handwritten Odia numerals" @default.
- W2310964472 cites W1504514121 @default.
- W2310964472 cites W1571491014 @default.
- W2310964472 cites W1988122146 @default.
- W2310964472 cites W2001392867 @default.
- W2310964472 cites W2017131512 @default.
- W2310964472 cites W2025124369 @default.
- W2310964472 cites W2029049225 @default.
- W2310964472 cites W2070674634 @default.
- W2310964472 cites W2071829412 @default.
- W2310964472 cites W2084523296 @default.
- W2310964472 cites W2139975583 @default.
- W2310964472 cites W2151698208 @default.
- W2310964472 cites W2159578113 @default.
- W2310964472 cites W2167243426 @default.
- W2310964472 cites W2421189715 @default.
- W2310964472 cites W2535793010 @default.
- W2310964472 doi "https://doi.org/10.1109/pcitc.2015.7438187" @default.
- W2310964472 hasPublicationYear "2015" @default.
- W2310964472 type Work @default.
- W2310964472 sameAs 2310964472 @default.
- W2310964472 citedByCount "0" @default.
- W2310964472 crossrefType "proceedings-article" @default.
- W2310964472 hasAuthorship W2310964472A5063573474 @default.
- W2310964472 hasAuthorship W2310964472A5068137088 @default.
- W2310964472 hasConcept C106135958 @default.
- W2310964472 hasConcept C119898033 @default.
- W2310964472 hasConcept C12267149 @default.
- W2310964472 hasConcept C153180895 @default.
- W2310964472 hasConcept C154945302 @default.
- W2310964472 hasConcept C169258074 @default.
- W2310964472 hasConcept C27438332 @default.
- W2310964472 hasConcept C41008148 @default.
- W2310964472 hasConcept C45942800 @default.
- W2310964472 hasConcept C50644808 @default.
- W2310964472 hasConcept C69738355 @default.
- W2310964472 hasConcept C84525736 @default.
- W2310964472 hasConcept C95623464 @default.
- W2310964472 hasConceptScore W2310964472C106135958 @default.
- W2310964472 hasConceptScore W2310964472C119898033 @default.
- W2310964472 hasConceptScore W2310964472C12267149 @default.
- W2310964472 hasConceptScore W2310964472C153180895 @default.
- W2310964472 hasConceptScore W2310964472C154945302 @default.
- W2310964472 hasConceptScore W2310964472C169258074 @default.
- W2310964472 hasConceptScore W2310964472C27438332 @default.
- W2310964472 hasConceptScore W2310964472C41008148 @default.
- W2310964472 hasConceptScore W2310964472C45942800 @default.
- W2310964472 hasConceptScore W2310964472C50644808 @default.
- W2310964472 hasConceptScore W2310964472C69738355 @default.
- W2310964472 hasConceptScore W2310964472C84525736 @default.
- W2310964472 hasConceptScore W2310964472C95623464 @default.
- W2310964472 hasLocation W23109644721 @default.
- W2310964472 hasOpenAccess W2310964472 @default.
- W2310964472 hasPrimaryLocation W23109644721 @default.
- W2310964472 hasRelatedWork W146867097 @default.
- W2310964472 hasRelatedWork W1850881749 @default.
- W2310964472 hasRelatedWork W1984207970 @default.
- W2310964472 hasRelatedWork W2011621427 @default.
- W2310964472 hasRelatedWork W2099950630 @default.
- W2310964472 hasRelatedWork W2126557531 @default.
- W2310964472 hasRelatedWork W2377504466 @default.
- W2310964472 hasRelatedWork W2553625606 @default.
- W2310964472 hasRelatedWork W2572803634 @default.
- W2310964472 hasRelatedWork W2777525419 @default.
- W2310964472 hasRelatedWork W2890060532 @default.
- W2310964472 hasRelatedWork W2890807052 @default.
- W2310964472 hasRelatedWork W2893722524 @default.
- W2310964472 hasRelatedWork W2945281038 @default.
- W2310964472 hasRelatedWork W3038428022 @default.
- W2310964472 hasRelatedWork W3088783253 @default.
- W2310964472 hasRelatedWork W3101480561 @default.
- W2310964472 hasRelatedWork W3111552472 @default.
- W2310964472 hasRelatedWork W3135552608 @default.
- W2310964472 hasRelatedWork W2183188085 @default.
- W2310964472 isParatext "false" @default.
- W2310964472 isRetracted "false" @default.
- W2310964472 magId "2310964472" @default.
- W2310964472 workType "article" @default.