Efficient approximate nearest neighbor search on high-dimensional vectors by graph and quantization
Approximate nearest neighbor (ANN) search in high-dimensional Euclidean space has a broad range of applications. Among existing ANN algorithms, graph-based methods currently show superior performance in terms of the time-accuracy trade-off. Yet, they have performance bottlenecks due to the random me...
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| 格式: | Thesis-Master by Research |
| 語言: | English |
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Nanyang Technological University
2024
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| 在線閱讀: | https://hdl.handle.net/10356/181650 |
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| 機構: | Nanyang Technological University |
| 語言: | English |