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- W1572287772 abstract "Image annotation aims at finding suitable multiple tags for unlabeled images. Image annotation could be taken as a process of modeling the relationships between images and annotated key words. In this paper, we utilize sparse logistic regression to encode the association between low level visual features and annotated key words for image annotation. The comparisons are made on real data sets in terms of AUC and F1-measure. The results show that sparse logistic regression outperforms other methods substantially almost all the time.KeywordsSparse Logistic RegressionImage Annotation" @default.
- W1572287772 created "2016-06-24" @default.
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- W1572287772 date "2010-01-01" @default.
- W1572287772 modified "2023-09-25" @default.
- W1572287772 title "Image Annotation by Sparse Logistic Regression" @default.
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- W1572287772 doi "https://doi.org/10.1007/978-3-642-15696-0_3" @default.
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