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Ensembles of randomized trees and their application to image classification| old_uid | 2609 |
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| title | Ensembles of randomized trees and their application to image classification |
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| start_date | 2007/04/05 |
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| schedule | 10h |
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| online | no |
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| location_info | salle 549 |
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| summary | The first part of the talk will focus on a recently proposed supervised learning method based on ensembles of totally randomized (regression or classification) trees. The rationale of the method and the geometrical interpretation of its induced models will be discussed and illustrated on simple examples. The second part of the talk will describe a wrapper framework based on this method, devoted to pixel-based image classification. Various real-world applications, extensions, and ongoing work will be briefly mentioned during the presentation.
The presentation is mainly based on the following publications : Pierre Geurts, Damien Ernst, Louis Wehenkel, Extremely Randomized Trees, Machine Learning, Volume 36, Number 1, page 3-42 – 2006
Raphaël Marée, Pierre Geurts, Justus Piater, Louis Wehenkel, Random Subwindows for Robust Image Classification, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005), Volume 1, page 34–40 - June 2005 |
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| oncancel | changement de salle |
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| responsibles | Bouchon-Meunier, Diaz, Gallinari |
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