Biological Image Classification with Random Subwindows and Extra-Trees
Workshop on Multiscale Biological Imaging, Data Mining & Informatics - sep 2006
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We illustrate the potential of our image classification method on
three datasets of images at different imaging modalities/scales, from
subcellular locations up to human body regions. The method is based
on random subwindows extraction and the combination of their
classification using ensembles of extremely randomized decision
trees.
BibTex references
@InProceedings\{MGW06,
author = "Mar\'ee, Rapha{\"e}l and Geurts, Pierre and Wehenkel, Louis",
title = "Biological Image Classification with Random Subwindows and Extra-Trees",
booktitle = "Workshop on Multiscale Biological Imaging, Data Mining \& Informatics",
month = "sep",
year = "2006",
keywords = "bioinformatics, machine learning",
url = "http://www.montefiore.ulg.ac.be/services/stochastic/pubs/2006/MGW06"
}