Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis

Abstract

Current image acquisition and storage technologies have provided large data sets (with millions of samples) for analysis. Samples may be images from an image database, objects extracted from several images, or image pixels. This scenario is very challenging for traditional machine learning and pattern recognition techniques, which need to be more efficient… (More)
DOI: 10.1007/978-3-642-16687-7_2

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Cite this paper

@inproceedings{Falco2010DesignOP, title={Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis}, author={Alexandre X. Falc{\~a}o}, booktitle={CIARP}, year={2010} }