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- W4288333067 abstract "The main contribution of this dissertation is the introduction of new or improved approximation algorithms and data structures for several similarity search problems. We examine the furthest neighbor query, the annulus query, distance sensitive membership, nearest neighbor preserving embeddings and set similarity queries in the large-scale, high-dimensional setting." @default.
- W4288333067 created "2022-07-28" @default.
- W4288333067 creator A5002057389 @default.
- W4288333067 date "2019-06-11" @default.
- W4288333067 modified "2023-10-17" @default.
- W4288333067 title "Similarity Problems in High Dimensions" @default.
- W4288333067 doi "https://doi.org/10.48550/arxiv.1906.04842" @default.
- W4288333067 hasPublicationYear "2019" @default.
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