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» Detection with multi-exit asymmetric boosting
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CVPR
2008
IEEE
14 years 6 months ago
Detection with multi-exit asymmetric boosting
We introduce a generalized representation for a boosted classifier with multiple exit nodes, and propose a method to training which combines the idea of propagating scores across ...
Minh-Tri Pham, V-D. D. Hoang, Tat-Jen Cham
ICML
2005
IEEE
14 years 5 months ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 5 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
WACV
2008
IEEE
13 years 11 months ago
Multi-Pose Face Detection with Asymmetric Haar Features
In this paper we present a system for multi-pose face detection. Our system presents three main contributions. First, we introduce the use of asymmetric Haar features. Asymmetric ...
Geovany A. Ramírez, Olac Fuentes
DAGM
2007
Springer
13 years 8 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...