Learning Vector Quantization With Alternative Distance Criteria

I
ICIAP
1999
10th International Conference on Image Analysis and Processing (ICIAP'99)
Abstract - Learning Vector Quantization With Alternative Distance Criteria

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10th International Conference on Image Analysis and Processing (ICIAP'99)

Venice, Italy

September 27-September 29

ISBN: 0-7695-0040-4

	ASCII Text	x
	J.S. Sánchez, F. Pla, F.J. Ferri, "Learning Vector Quantization With Alternative Distance Criteria," Image Analysis and Processing, International Conference on, pp. 84, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999.

	BibTex	x
	@article{ 10.1109/ICIAP.1999.797575, author = {J.S. Sánchez and F. Pla and F.J. Ferri}, title = {Learning Vector Quantization With Alternative Distance Criteria}, journal ={Image Analysis and Processing, International Conference on}, volume = {0}, year = {1999}, isbn = {0-7695-0040-4}, pages = {84}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797575}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Processing, International Conference on TI - Learning Vector Quantization With Alternative Distance Criteria SN - 0-7695-0040-4 SP EP A1 - J.S. Sánchez, A1 - F. Pla, A1 - F.J. Ferri, PY - 1999 VL - 0 JA - Image Analysis and Processing, International Conference on ER -

J.S. Sánchez

F. Pla

F.J. Ferri

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797575

An adaptive algorithm for training of a Nearest Neighbor (NN) classifier is developed in this paper. This learning rule has got some similarity to the well-known LVQ method, but using the nearest centroid neighborhood concept to estimate optimal locations of the code-book vectors. The aim of this approach is to improve the performance of the standard LVQ algorithms when using a very small code-book. The behavior of the learning technique proposed here is experimentally compared to those of the plain k-NN decision rule and the LVQ algorithms.

Citation:

J.S. Sánchez, F. Pla, F.J. Ferri, "Learning Vector Quantization With Alternative Distance Criteria," iciap, pp.84, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999

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