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- W2169746656 abstract "Similarity search, and specifically the nearest-neighbor search (NN) problem is widely used in many fields of computer science such as machine learning, computer vision and databases. However, in many settings such searches are known to suffer from the notorious curse of dimensionality, where running time grows exponentially with d. This causes severe performance degradation when working in high-dimensional spaces. Approximate techniques such as locality-sensitive hashing [2] improve the performance of the search, but are still computationally intensive." @default.
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- W2169746656 date "2015-05-31" @default.
- W2169746656 modified "2023-10-16" @default.
- W2169746656 title "Ultra-Fast Similarity Search Using Ternary Content Addressable Memory" @default.
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- W2169746656 doi "https://doi.org/10.1145/2771937.2771938" @default.
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