The generation of feature map in high dimensional feature space

R He,P.A Narayana

doi:10.1109/iembs.2003.1279842

The generation of feature map in high dimensional feature space

R He, P.A Narayana

https://doi.org/10.1109/iembs.2003.1279842

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Publication Date: Sep 17, 2003

Affiliation: Texas Medical Center

#High Dimensional Feature Space #High Dimensional Space + Show 8 more

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Abstract

A method for generating feature maps in high dimensional (>4) feature space for tissue segmentation based on K-nearest neighbor (KNN) classification is presented. This technique considerably reduces the computational and memory complexity that are associated with the analysis of high dimensional feature space. This method has been successfully applied for segmenting MR images, based on four echoes, of multiple sclerosis brains.

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