BCN Perceptual Computing Lab Repository

Evolutionary boosting strategy

Baró, Xavier and Vitrià, Jordi (2006) Evolutionary boosting strategy. Computer Vision; Process of Research and development . pp. 59-62. ISSN 978-84-933652-8-9

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Abstract

This paper presents a brief introduction to the nowadays most used object detection scheme. From this scheme, we highlight the two critical points of this scheme in terms of training time, and present a variant of this scheme that solves one of these points. Our proposal is to replace the WeakLearner in the Adaboost algorithm by an evolutive method. In addition, this approach allows us to work with high dimensional feature spaces which can not be used in the traditional scheme.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA76 Computer software
ID Code:33
Deposited By:n/d Generic User
Deposited On:03 Aug 2009 21:02
Last Modified:29 Nov 2010 17:52

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