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Estimation of High-Density Regions Using One-Class Neighbor Machines
March 2006 (vol. 28 no. 3)
pp. 476-480
ASCII Text
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Alberto Mu?, Javier M. Moguerza, "Estimation of High-Density Regions Using One-Class Neighbor Machines," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 476-480, March, 2006.
 
 
BibTex
x
 
@article{ 10.1109/TPAMI.2006.52,
author = {Alberto Mu? and Javier M. Moguerza},
title = {Estimation of High-Density Regions Using One-Class Neighbor Machines},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {28},
number = {3},
issn = {0162-8828},
year = {2006},
pages = {476-480},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.52},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Estimation of High-Density Regions Using One-Class Neighbor Machines
IS - 3
SN - 0162-8828
SP476
EP480
EPD - 476-480
A1 - Alberto Mu?,
A1 - Javier M. Moguerza,
PY - 2006
KW - Index Terms- Density estimation
KW - kernel methods
KW - One-Class Support Vector Machines.
VL - 28
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
In this paper, we investigate the problem of estimating high-density regions from univariate or multivariate data samples. We estimate minimum volume sets, whose probability is specified in advance, known in the literature as density contour clusters. This problem is strongly related to One-Class Support Vector Machines (OCSVM). We propose a new method to solve this problem, the One-Class Neighbor Machine (OCNM) and we show its properties. In particular, the OCNM solution asymptotically converges to the exact minimum volume set prespecified. Finally, numerical results illustrating the advantage of the new method are shown.

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Index Terms:
Index Terms- Density estimation, kernel methods, One-Class Support Vector Machines.
Citation:
Alberto Mu?, Javier M. Moguerza, "Estimation of High-Density Regions Using One-Class Neighbor Machines," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 3, pp. 476-480, March 2006, doi:10.1109/TPAMI.2006.52
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