In defense of Nearest-Neighbor based image classification

State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric nearest-neighbor (NN) based image classifiers require no training time and have other favorable properties. However, the large performance gap between th...

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Bibliographische Detailangaben

Veröffentlicht in:	2008 IEEE Conference on Computer Vision and Pattern Recognition S. 1 - 8
Hauptverfasser:	Boiman, O., Shechtman, E., Irani, M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2008
Schlagworte:	Boosting Classification tree analysis Degradation Image classification Image databases Neural networks Quantization Rendering (computer graphics) Support vector machine classification Support vector machines
ISBN:	9781424422425, 1424422426
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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