Accumulative Quantization for Approximate Nearest Neighbor Search

To further improve the approximate nearest neighbor (ANN) search performance, an accumulative quantization (AQ) is proposed and applied to effective ANN search. It approximates a vector with the accumulation of several centroids, each of which is selected from a different codebook. To provide accura...

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Detalles Bibliográficos
Autores principales: Ai, Liefu, Tao, Yong, Cheng, Hongjun, Wang, Yuanzhi, Xie, Shaoguo, Liu, Deyang, Zheng, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863474/
https://www.ncbi.nlm.nih.gov/pubmed/35211164
http://dx.doi.org/10.1155/2022/4364252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863474/
https://www.ncbi.nlm.nih.gov/pubmed/35211164
http://dx.doi.org/10.1155/2022/4364252

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