Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022218032> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W2022218032 abstract "The paper presents a hybrid approach to the problem of classifier construction for machine vision based inspection systems. The method allows the user to integrate different types of classifiers and exploit different sources of information such as sample data and expert knowledge. Of particular interest is the problem of classification reliability in the case of small training sets. A novel forward fuzzy decision tree induction method is proposed to handle different types of uncertainty. The performance of the method is compared experimentally with other classifiers using artificial and machine vision data." @default.
- W2022218032 created "2016-06-24" @default.
- W2022218032 creator A5058249717 @default.
- W2022218032 date "1995-10-03" @default.
- W2022218032 modified "2023-09-23" @default.
- W2022218032 title "<title>Reliable flaw classifiers for machine vision-based quality control</title>" @default.
- W2022218032 doi "https://doi.org/10.1117/12.223971" @default.
- W2022218032 hasPublicationYear "1995" @default.
- W2022218032 type Work @default.
- W2022218032 sameAs 2022218032 @default.
- W2022218032 citedByCount "1" @default.
- W2022218032 crossrefType "proceedings-article" @default.
- W2022218032 hasAuthorship W2022218032A5058249717 @default.
- W2022218032 hasConcept C106135958 @default.
- W2022218032 hasConcept C119857082 @default.
- W2022218032 hasConcept C121332964 @default.
- W2022218032 hasConcept C124101348 @default.
- W2022218032 hasConcept C153180895 @default.
- W2022218032 hasConcept C154945302 @default.
- W2022218032 hasConcept C163258240 @default.
- W2022218032 hasConcept C165696696 @default.
- W2022218032 hasConcept C38652104 @default.
- W2022218032 hasConcept C41008148 @default.
- W2022218032 hasConcept C43214815 @default.
- W2022218032 hasConcept C5339829 @default.
- W2022218032 hasConcept C58166 @default.
- W2022218032 hasConcept C62520636 @default.
- W2022218032 hasConcept C84525736 @default.
- W2022218032 hasConcept C95623464 @default.
- W2022218032 hasConceptScore W2022218032C106135958 @default.
- W2022218032 hasConceptScore W2022218032C119857082 @default.
- W2022218032 hasConceptScore W2022218032C121332964 @default.
- W2022218032 hasConceptScore W2022218032C124101348 @default.
- W2022218032 hasConceptScore W2022218032C153180895 @default.
- W2022218032 hasConceptScore W2022218032C154945302 @default.
- W2022218032 hasConceptScore W2022218032C163258240 @default.
- W2022218032 hasConceptScore W2022218032C165696696 @default.
- W2022218032 hasConceptScore W2022218032C38652104 @default.
- W2022218032 hasConceptScore W2022218032C41008148 @default.
- W2022218032 hasConceptScore W2022218032C43214815 @default.
- W2022218032 hasConceptScore W2022218032C5339829 @default.
- W2022218032 hasConceptScore W2022218032C58166 @default.
- W2022218032 hasConceptScore W2022218032C62520636 @default.
- W2022218032 hasConceptScore W2022218032C84525736 @default.
- W2022218032 hasConceptScore W2022218032C95623464 @default.
- W2022218032 hasLocation W20222180321 @default.
- W2022218032 hasOpenAccess W2022218032 @default.
- W2022218032 hasPrimaryLocation W20222180321 @default.
- W2022218032 hasRelatedWork W1924140465 @default.
- W2022218032 hasRelatedWork W2149078746 @default.
- W2022218032 hasRelatedWork W2165882374 @default.
- W2022218032 hasRelatedWork W2461933888 @default.
- W2022218032 hasRelatedWork W2556319748 @default.
- W2022218032 hasRelatedWork W3200179079 @default.
- W2022218032 hasRelatedWork W4249229055 @default.
- W2022218032 hasRelatedWork W4316087365 @default.
- W2022218032 hasRelatedWork W4375930479 @default.
- W2022218032 hasRelatedWork W1822914510 @default.
- W2022218032 isParatext "false" @default.
- W2022218032 isRetracted "false" @default.
- W2022218032 magId "2022218032" @default.
- W2022218032 workType "article" @default.