A unified learning framework for object detection and classification using nested cascades of boosted classifiers
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A unified learning framework for object detection and classification using nested cascades of boosted classifiers
Abstract
A unified learning framework for object detection
and classification using nested cascades of boosted classifiers
General note
Artículo de publicación ISI
Patrocinador
This research was funded by Millenium Nucleus
Center for Web Research, Grant P04-067-F, Chile. Part of the research
in this paper use the FERET database of facial images collected under
the FERET program. During part of this research work the authors
took part of the Alfa project N◦AML//19.0902/97/06660/II-0366-FA
and they would like to acknowledge its support.
Quote Item
Machine Vision and Applications (2008) 19:85–103
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