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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Bibliographic Details
Main Author: Gou, Yutong
Other Authors: Long Cheng
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181650
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Institution: Nanyang Technological University
Language: English

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