Scalable Nearest Neighbor Algorithms for High Dimensional Data

For many computer vision and machine learning problems, large training sets are key for good performance. However, the most computationally expensive part of many computer vision and machine learning algorithms consists of finding nearest neighbor matches to high dimensional vectors that represent t...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 36; H. 11; S. 2227 - 2240
Hauptverfasser:	Muja, Marius, Lowe, David G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.11.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation algorithms Approximation methods Clustering algorithms Computer vision Libraries Machine learning Machine learning algorithms Matching Partitioning algorithms Searching Training Trees Vegetation Nearest neighbor search algorithm configuration approximate search big data
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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