A new multiresolution classification model based on partitioning of feature space

Abstract

Multiresolution analysis is a hot topic in the past decade. In this paper, we propose a new multiresolution classification method which adopts a coarse-to-fine strategy both during the training and the testing processes based on decomposing of the feature space. The training algorithm locates the boundary between two classes from coarse to fine by dividing… (More)
DOI: 10.1109/GRC.2005.1547335

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