Matches in SemOpenAlex for { <https://semopenalex.org/work/W2948880555> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W2948880555 endingPage "59" @default.
- W2948880555 startingPage "49" @default.
- W2948880555 abstract "In this paper, we demonstrate how regression curves can be used to recognize 2D non-rigid handwritten shapes. Each shape is represented by a set of non-overlapping uniformly distributed landmarks. The underlying models utilize 2nd order of polynomials to model shapes within a training set. To estimate the regression models, we need to extract the required coefficients which describe the variations for a set of shape class. Hence, a least square method is used to estimate such modes. We proceed then, by training these coefficients using the apparatus Expectation Maximization algorithm. Recognition is carried out by finding the least error landmarks displacement with respect to the model curves. Handwritten isolated Arabic characters are used to evaluate our approach." @default.
- W2948880555 created "2019-06-14" @default.
- W2948880555 creator A5054027167 @default.
- W2948880555 date "2019-05-30" @default.
- W2948880555 modified "2023-09-25" @default.
- W2948880555 title "MIXTURES OF TRAINED REGRESSION CURVESMODELS FOR HANDRITTEN ARABIC CHARACTER RECOGNITION" @default.
- W2948880555 doi "https://doi.org/10.5121/ijaia.2019.10305" @default.
- W2948880555 hasPublicationYear "2019" @default.
- W2948880555 type Work @default.
- W2948880555 sameAs 2948880555 @default.
- W2948880555 citedByCount "0" @default.
- W2948880555 crossrefType "journal-article" @default.
- W2948880555 hasAuthorship W2948880555A5054027167 @default.
- W2948880555 hasBestOaLocation W29488805551 @default.
- W2948880555 hasConcept C115961682 @default.
- W2948880555 hasConcept C138885662 @default.
- W2948880555 hasConcept C153180895 @default.
- W2948880555 hasConcept C154945302 @default.
- W2948880555 hasConcept C204321447 @default.
- W2948880555 hasConcept C2524010 @default.
- W2948880555 hasConcept C2780861071 @default.
- W2948880555 hasConcept C28490314 @default.
- W2948880555 hasConcept C2987247673 @default.
- W2948880555 hasConcept C33923547 @default.
- W2948880555 hasConcept C41008148 @default.
- W2948880555 hasConcept C41895202 @default.
- W2948880555 hasConcept C96455323 @default.
- W2948880555 hasConceptScore W2948880555C115961682 @default.
- W2948880555 hasConceptScore W2948880555C138885662 @default.
- W2948880555 hasConceptScore W2948880555C153180895 @default.
- W2948880555 hasConceptScore W2948880555C154945302 @default.
- W2948880555 hasConceptScore W2948880555C204321447 @default.
- W2948880555 hasConceptScore W2948880555C2524010 @default.
- W2948880555 hasConceptScore W2948880555C2780861071 @default.
- W2948880555 hasConceptScore W2948880555C28490314 @default.
- W2948880555 hasConceptScore W2948880555C2987247673 @default.
- W2948880555 hasConceptScore W2948880555C33923547 @default.
- W2948880555 hasConceptScore W2948880555C41008148 @default.
- W2948880555 hasConceptScore W2948880555C41895202 @default.
- W2948880555 hasConceptScore W2948880555C96455323 @default.
- W2948880555 hasIssue "03" @default.
- W2948880555 hasLocation W29488805551 @default.
- W2948880555 hasLocation W29488805552 @default.
- W2948880555 hasOpenAccess W2948880555 @default.
- W2948880555 hasPrimaryLocation W29488805551 @default.
- W2948880555 hasRelatedWork W11512698 @default.
- W2948880555 hasRelatedWork W1514458971 @default.
- W2948880555 hasRelatedWork W2370409687 @default.
- W2948880555 hasRelatedWork W2387596791 @default.
- W2948880555 hasRelatedWork W2789919619 @default.
- W2948880555 hasRelatedWork W2885824526 @default.
- W2948880555 hasRelatedWork W2901613113 @default.
- W2948880555 hasRelatedWork W2997872943 @default.
- W2948880555 hasRelatedWork W4225729232 @default.
- W2948880555 hasRelatedWork W4226283454 @default.
- W2948880555 hasVolume "10" @default.
- W2948880555 isParatext "false" @default.
- W2948880555 isRetracted "false" @default.
- W2948880555 magId "2948880555" @default.
- W2948880555 workType "article" @default.