DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search

Martin Aumüller, Matti Karppa, Rasmus Pagh

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Originalsprog	Engelsk
Titel	AISTATS 2022 : International Conference on Artificial Intelligence and Statistics
Vol/bind	151
Publikationsdato	2022
Sider	3108-3137
Status	Udgivet - 2022
Begivenhed	International Conference on Artificial Intelligence and Statistics - Varighed: 28 mar. 2022 → …

Konference	International Conference on Artificial Intelligence and Statistics
Periode	28/03/2022 → …

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@inproceedings{f4f6c1a035f641d1861c90d500bf3f38,

title = "DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search",

author = "Martin Aum{\"u}ller and Matti Karppa and Rasmus Pagh",

year = "2022",

language = "English",

volume = "151",

pages = "3108--3137",

booktitle = "AISTATS 2022",

note = " International Conference on Artificial Intelligence and Statistics ; Conference date: 28-03-2022",

}

DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search. / Aumüller, Martin; Karppa, Matti; Pagh, Rasmus.
AISTATS 2022: International Conference on Artificial Intelligence and Statistics. Bind 151 2022. s. 3108-3137.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review