Abstract
We present a novel index for approximate searching in metric spaces based on random bisectors and binary fingerprints. The aim is to deal with scenarios where the main memory available is small. The method was tested on synthetic and real-world metric spaces. Our results show that our scheme outperforms the standard permutant-based index in scenarios where memory is scarce.
This work is partially funded by Fondecyt grants 11121350 and 1131044, Chile.
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Andrade, J.M., Astudillo, C.A., Paredes, R. (2014). Metric Space Searching Based on Random Bisectors and Binary Fingerprints. In: Traina, A.J.M., Traina, C., Cordeiro, R.L.F. (eds) Similarity Search and Applications. SISAP 2014. Lecture Notes in Computer Science, vol 8821. Springer, Cham. https://doi.org/10.1007/978-3-319-11988-5_5
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DOI: https://doi.org/10.1007/978-3-319-11988-5_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11987-8
Online ISBN: 978-3-319-11988-5
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