Matches in SemOpenAlex for { <https://semopenalex.org/work/W3212463140> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3212463140 endingPage "6" @default.
- W3212463140 startingPage "1" @default.
- W3212463140 abstract "Neural networks and especially Convolutional Neural Networks are often used for classification problems. These problems often involve images but Convolutional Neural Networks are not limited to image classification problems. One of the drawbacks of using neural networks, however, is the requirement of high volumes of training data (and especially labeled training data) in order to train the models. In many cases it is difficult if not impossible to obtain such training data. And, in situations where the training data might be available, it may only be available for research purposes and not for commercial purposes. This paper looks at the problem of classifying neighbourhoods. Both a method and an instantiation of that method are described in this paper – although the actual numeric values of the instantiation are company private and not shared. The method could be used, for example, to classify neighbourhoods as been rural vs urban, economically active vs inactive, culturally diverse vs culturally homogenous. And although this could be done with images and Convolutional Neural Networks, no localised training data was available. Instead a Geographical Information System was used to count physical landmarks within the neighbourhood and calculate a classification level on a sliding scale." @default.
- W3212463140 created "2021-11-22" @default.
- W3212463140 creator A5038584814 @default.
- W3212463140 date "2021-05-10" @default.
- W3212463140 modified "2023-09-23" @default.
- W3212463140 title "A Method for Classifying Neighbourhoods In GIS Applications by Counting Landmarks" @default.
- W3212463140 cites W124349154 @default.
- W3212463140 cites W2012594940 @default.
- W3212463140 cites W206354268 @default.
- W3212463140 cites W2067594023 @default.
- W3212463140 cites W2098239681 @default.
- W3212463140 cites W2136166259 @default.
- W3212463140 cites W2136451344 @default.
- W3212463140 cites W2793022090 @default.
- W3212463140 cites W2962825694 @default.
- W3212463140 hasPublicationYear "2021" @default.
- W3212463140 type Work @default.
- W3212463140 sameAs 3212463140 @default.
- W3212463140 citedByCount "0" @default.
- W3212463140 crossrefType "journal-article" @default.
- W3212463140 hasAuthorship W3212463140A5038584814 @default.
- W3212463140 hasConcept C119857082 @default.
- W3212463140 hasConcept C124101348 @default.
- W3212463140 hasConcept C134306372 @default.
- W3212463140 hasConcept C153180895 @default.
- W3212463140 hasConcept C153294291 @default.
- W3212463140 hasConcept C154945302 @default.
- W3212463140 hasConcept C161677786 @default.
- W3212463140 hasConcept C205649164 @default.
- W3212463140 hasConcept C2777211547 @default.
- W3212463140 hasConcept C2778755073 @default.
- W3212463140 hasConcept C33923547 @default.
- W3212463140 hasConcept C41008148 @default.
- W3212463140 hasConcept C50644808 @default.
- W3212463140 hasConcept C51632099 @default.
- W3212463140 hasConcept C58640448 @default.
- W3212463140 hasConcept C81363708 @default.
- W3212463140 hasConceptScore W3212463140C119857082 @default.
- W3212463140 hasConceptScore W3212463140C124101348 @default.
- W3212463140 hasConceptScore W3212463140C134306372 @default.
- W3212463140 hasConceptScore W3212463140C153180895 @default.
- W3212463140 hasConceptScore W3212463140C153294291 @default.
- W3212463140 hasConceptScore W3212463140C154945302 @default.
- W3212463140 hasConceptScore W3212463140C161677786 @default.
- W3212463140 hasConceptScore W3212463140C205649164 @default.
- W3212463140 hasConceptScore W3212463140C2777211547 @default.
- W3212463140 hasConceptScore W3212463140C2778755073 @default.
- W3212463140 hasConceptScore W3212463140C33923547 @default.
- W3212463140 hasConceptScore W3212463140C41008148 @default.
- W3212463140 hasConceptScore W3212463140C50644808 @default.
- W3212463140 hasConceptScore W3212463140C51632099 @default.
- W3212463140 hasConceptScore W3212463140C58640448 @default.
- W3212463140 hasConceptScore W3212463140C81363708 @default.
- W3212463140 hasLocation W32124631401 @default.
- W3212463140 hasOpenAccess W3212463140 @default.
- W3212463140 hasPrimaryLocation W32124631401 @default.
- W3212463140 hasRelatedWork W1964989298 @default.
- W3212463140 hasRelatedWork W2076101650 @default.
- W3212463140 hasRelatedWork W2418182913 @default.
- W3212463140 hasRelatedWork W2511201422 @default.
- W3212463140 hasRelatedWork W2512006796 @default.
- W3212463140 hasRelatedWork W2603253724 @default.
- W3212463140 hasRelatedWork W2609578701 @default.
- W3212463140 hasRelatedWork W2626036016 @default.
- W3212463140 hasRelatedWork W2899692204 @default.
- W3212463140 hasRelatedWork W2929853748 @default.
- W3212463140 hasRelatedWork W2946224388 @default.
- W3212463140 hasRelatedWork W2966581178 @default.
- W3212463140 hasRelatedWork W3014654539 @default.
- W3212463140 hasRelatedWork W3015127654 @default.
- W3212463140 hasRelatedWork W3025550063 @default.
- W3212463140 hasRelatedWork W3026088767 @default.
- W3212463140 hasRelatedWork W3107694446 @default.
- W3212463140 hasRelatedWork W3124720190 @default.
- W3212463140 hasRelatedWork W3129592458 @default.
- W3212463140 hasRelatedWork W3202078182 @default.
- W3212463140 isParatext "false" @default.
- W3212463140 isRetracted "false" @default.
- W3212463140 magId "3212463140" @default.
- W3212463140 workType "article" @default.