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- W2914971572 abstract "Credibility information gives an indication of which users are most likely to share relevant images on social network feeds and consequently may help estimating the relevance of an image for retrieval purposes. Considering multiple credibilty evidences has be shown as an effective method for image ranking. In order to select and combine multiple credibility descriptors, this work proposes a genetic algorithm-based automatic context-adaptive weight adjustment model. The experimental results show promising effectiveness when compared to the baseline." @default.
- W2914971572 created "2019-02-21" @default.
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- W2914971572 date "2018-10-16" @default.
- W2914971572 modified "2023-09-30" @default.
- W2914971572 title "Recuperação de Imagens na Web com Fusão Adaptativa de Credibilidade Baseada em Algoritmos Genéticos" @default.
- W2914971572 doi "https://doi.org/10.5753/webmedia.2018.4563" @default.
- W2914971572 hasPublicationYear "2018" @default.
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