Matches in SemOpenAlex for { <https://semopenalex.org/work/W2133641844> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2133641844 endingPage "1187" @default.
- W2133641844 startingPage "1173" @default.
- W2133641844 abstract "This paper describes a method for separating online handwritten patterns into Japanese text, figures and mathematical formulas. Today, Tablet PCs and electronic whiteboards provide much larger writing area for pen interfaces unlike PDAs (Personal Digital Assistants), through which users can easily input text, write mathematical formulas and draw figures on the screen. The fact that these objects can be written by a single pen (marker) without switching the device, mode, software or whatever else, and without any writing restrictions such as grids or boxes is one of the most important benefits of the pen interfaces. However, the task of segmenting these objects is challenging. To address this issue, we have applied a probabilistic model employing stroke features, stroke crossings and stroke densities. Further, we partially apply the approach of segmentation by recognition. Although the current recognizer for formulas is not a true recognizer, we have achieved about 81% correct segmentation for all the strokes when applied to our newly prepared database of mixed patterns. This method has been compared with a neural-network. The results show that our method is generally better but less effective in distinguishing figures from other components." @default.
- W2133641844 created "2016-06-24" @default.
- W2133641844 creator A5033437931 @default.
- W2133641844 creator A5060029859 @default.
- W2133641844 date "2004-11-01" @default.
- W2133641844 modified "2023-09-26" @default.
- W2133641844 title "SEPARATING FIGURES, MATHEMATICAL FORMULAS AND JAPANESE TEXT FROM FREE HANDWRITING IN MIXED ONLINE DOCUMENTS" @default.
- W2133641844 cites W2098870221 @default.
- W2133641844 cites W2109253306 @default.
- W2133641844 cites W2119847746 @default.
- W2133641844 doi "https://doi.org/10.1142/s0218001404003708" @default.
- W2133641844 hasPublicationYear "2004" @default.
- W2133641844 type Work @default.
- W2133641844 sameAs 2133641844 @default.
- W2133641844 citedByCount "12" @default.
- W2133641844 countsByYear W21336418442014 @default.
- W2133641844 countsByYear W21336418442016 @default.
- W2133641844 countsByYear W21336418442020 @default.
- W2133641844 countsByYear W21336418442021 @default.
- W2133641844 countsByYear W21336418442022 @default.
- W2133641844 crossrefType "journal-article" @default.
- W2133641844 hasAuthorship W2133641844A5033437931 @default.
- W2133641844 hasAuthorship W2133641844A5060029859 @default.
- W2133641844 hasConcept C112640561 @default.
- W2133641844 hasConcept C153180895 @default.
- W2133641844 hasConcept C154945302 @default.
- W2133641844 hasConcept C162324750 @default.
- W2133641844 hasConcept C187736073 @default.
- W2133641844 hasConcept C199360897 @default.
- W2133641844 hasConcept C204321447 @default.
- W2133641844 hasConcept C2777904410 @default.
- W2133641844 hasConcept C2779386606 @default.
- W2133641844 hasConcept C2780451532 @default.
- W2133641844 hasConcept C28490314 @default.
- W2133641844 hasConcept C41008148 @default.
- W2133641844 hasConcept C49937458 @default.
- W2133641844 hasConcept C50644808 @default.
- W2133641844 hasConcept C52622490 @default.
- W2133641844 hasConcept C89600930 @default.
- W2133641844 hasConceptScore W2133641844C112640561 @default.
- W2133641844 hasConceptScore W2133641844C153180895 @default.
- W2133641844 hasConceptScore W2133641844C154945302 @default.
- W2133641844 hasConceptScore W2133641844C162324750 @default.
- W2133641844 hasConceptScore W2133641844C187736073 @default.
- W2133641844 hasConceptScore W2133641844C199360897 @default.
- W2133641844 hasConceptScore W2133641844C204321447 @default.
- W2133641844 hasConceptScore W2133641844C2777904410 @default.
- W2133641844 hasConceptScore W2133641844C2779386606 @default.
- W2133641844 hasConceptScore W2133641844C2780451532 @default.
- W2133641844 hasConceptScore W2133641844C28490314 @default.
- W2133641844 hasConceptScore W2133641844C41008148 @default.
- W2133641844 hasConceptScore W2133641844C49937458 @default.
- W2133641844 hasConceptScore W2133641844C50644808 @default.
- W2133641844 hasConceptScore W2133641844C52622490 @default.
- W2133641844 hasConceptScore W2133641844C89600930 @default.
- W2133641844 hasIssue "07" @default.
- W2133641844 hasLocation W21336418441 @default.
- W2133641844 hasOpenAccess W2133641844 @default.
- W2133641844 hasPrimaryLocation W21336418441 @default.
- W2133641844 hasRelatedWork W1490913067 @default.
- W2133641844 hasRelatedWork W1507687735 @default.
- W2133641844 hasRelatedWork W2081647779 @default.
- W2133641844 hasRelatedWork W2146962865 @default.
- W2133641844 hasRelatedWork W2158785961 @default.
- W2133641844 hasRelatedWork W2510758617 @default.
- W2133641844 hasRelatedWork W2897195263 @default.
- W2133641844 hasRelatedWork W3107474891 @default.
- W2133641844 hasRelatedWork W3185852197 @default.
- W2133641844 hasRelatedWork W4206076898 @default.
- W2133641844 hasVolume "18" @default.
- W2133641844 isParatext "false" @default.
- W2133641844 isRetracted "false" @default.
- W2133641844 magId "2133641844" @default.
- W2133641844 workType "article" @default.