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- W2150727557 abstract "In content based image retrieval, the success of any distance-based indexing scheme depends critically on the quality of the chosen distance metric. We propose in this paper a kernel-based similarity approach working on sets of vectors to represent images. We introduce a method for fast approximate similarity search in large image databases with our kernel-based similarity metric. We evaluate our algorithm on image retrieval task and show it to be accurate and faster than linear scanning." @default.
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- W2150727557 date "2008-12-01" @default.
- W2150727557 modified "2023-10-16" @default.
- W2150727557 title "Fast approximate kernel-based similarity search for image retrieval task" @default.
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- W2150727557 doi "https://doi.org/10.1109/icpr.2008.4761225" @default.
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