Buffer k-d trees: processing massive nearest neighbor queries on GPUs

Fabian Cristian Gieseke; Justin Heinermann; Cosmin Eugen Oancea; Christian Igel

Buffer k-d trees: processing massive nearest neighbor queries on GPUs

Fabian Cristian Gieseke, Justin Heinermann, Cosmin Eugen Oancea, Christian Igel

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Original language	English
Title of host publication	Proceedings of the 31^st International Conference on Machine Learning, Beijing, China, 2014
Number of pages	9
Publication date	2014
Publication status	Published - 2014
Event	International Conference on Machine Learning 2014 - Beijing, China Duration: 21 Jun 2014 → 26 Jun 2014 Conference number: 31 http://icml.cc/2014

Conference

Conference	International Conference on Machine Learning 2014
Number	31
Country/Territory	China
City	Beijing
Period	21/06/2014 → 26/06/2014
Internet address	http://icml.cc/2014

Series	JMLR: Workshop and Conference Proceedings
Volume	32

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Buffer k -d Trees: Processing Massive Nearest Neighbor Queries on GPUsFinal published version, 383 KB

http://jmlr.org/proceedings/papers/v32/gieseke14.pdf

Cite this

Buffer k-d trees : processing massive nearest neighbor queries on GPUs. / Gieseke, Fabian Cristian; Heinermann, Justin; Oancea, Cosmin Eugen ; Igel, Christian.

Proceedings of the 31^st International Conference on Machine Learning, Beijing, China, 2014. 2014. (JMLR: Workshop and Conference Proceedings, Vol. 32).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Gieseke, FC, Heinermann, J, Oancea, CE & Igel, C 2014, Buffer k-d trees: processing massive nearest neighbor queries on GPUs. in Proceedings of the 31^st International Conference on Machine Learning, Beijing, China, 2014. JMLR: Workshop and Conference Proceedings, vol. 32, International Conference on Machine Learning 2014, Beijing, China, 21/06/2014. <http://jmlr.org/proceedings/papers/v32/gieseke14.pdf>

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