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- W2888325535 abstract "This paper describes a study that examines deep features by using the 1-NN algorithm in image similarity computation. This work extends our previous work that compared a number of deep-feature-extraction techniques, or feature vectors, in image-style classification. Our finding here is that the feature vector where each element is the cosine similarity between respective pair of the VGG-19 conv5_1 layer's feature maps is the most promising for computation of ukiyo-e similarity." @default.
- W2888325535 created "2018-08-31" @default.
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- W2888325535 date "2018-06-01" @default.
- W2888325535 modified "2023-09-23" @default.
- W2888325535 title "Validation of Deep Features Using the 1-NN Algorithm for Image Similarity Computation" @default.
- W2888325535 doi "https://doi.org/10.1109/nicoint.2018.00027" @default.
- W2888325535 hasPublicationYear "2018" @default.
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