How do ngt and faiss choose in the algorithm of approximate nearest neighbor search?
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ngt and faiss are both algorithms used for approximate nearest neighbor search. ngt, proposed by Itotani et al. , is based on a distance-based hashing technique called adaptive flexible distance-based hashing (AFDH). It returns a small-sized candidate set of nearest neighbors for a given query and selects the closest one as the final result. On the other hand, faiss, mentioned by Lee et al. , is a state-of-the-art algorithm compatible with ANNA (Approximate Nearest Neighbor search Accelerator). It achieves higher energy efficiency, throughput, and lower latency compared to conventional CPUs and GPUs. Both algorithms are designed to address the challenges of searching for similar vectors in high-dimensional spaces efficiently.
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01 Apr 2022 3 Citations | The paper does not mention how ngt and faiss choose in the algorithm of approximate nearest neighbor search. |
03 Sep 2018 1 Citations | The provided paper does not mention anything about ngt or faiss. |
Open access•Posted Content | The provided paper does not mention ngt or faiss. |
01 Apr 2022 1 Citations | The paper does not mention how ngt and faiss choose in the algorithm of approximate nearest neighbor search. |
| The paper does not mention anything about the algorithms ngt and faiss or how they are chosen in the approximate nearest neighbor search algorithm. |
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