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Data · dataset · 2020

Data for: A Multimodal Generative and Fusion Framework for Recognizing Faculty Homepages

Listed in Teesside University Research Data Repository

1.

Description

This dataset includes image feautres, layout features, textual content features, and target labels. 2. The image features are 4-dimensional vectors, in which the elements include the number of zero-face images, the number of one-face images, the number of multiple-face images, and the total number of images. 3.

The layout features are 300-dimensional vectors, in which every element calculates the total number of a HTML leaf tag. 4. The textual content features are 400-dimensional vectors. Every vector is a padded/truncated word sequence from a textual content. 5.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/vr83sbx9v2.18 h agoJSON v1
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concepts[field].anzsrc:group:4602mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Artificial Intelligence']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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