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- W4386432983 abstract "Efficient face image retrieval, i.e. searching for existing photographs of a person in unlabelled photo collections using a query photo, is evaluated for a novel method to find the top n results for Consensus Ranking. The approach aims to maximise precision and recall by using the retrieved photos, all ranked on similarity. The proposed method aims to retrieve all photos of the queried person while excluding images of other individuals. To achieve this, the method uses the top n results as temporary queries, recalculates similarities, and combines the obtained ranked lists to produce a better overall ranking. The method includes a novel and reliable procedure for selecting n, which is evaluated on two datasets, and considers the impact of age variation in the datasets." @default.
- W4386432983 created "2023-09-05" @default.
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- W4386432983 date "2023-01-01" @default.
- W4386432983 modified "2023-09-30" @default.
- W4386432983 title "Consensus Ranking for Efficient Face Image Retrieval: A Novel Method for Maximising Precision and Recall" @default.
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- W4386432983 doi "https://doi.org/10.1007/978-3-031-43148-7_14" @default.
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