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» Boosting Object Detection Using Feature Selection
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ICML
2005
IEEE
14 years 8 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
CVIU
2007
129views more  CVIU 2007»
13 years 7 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji
ICPR
2004
IEEE
14 years 8 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
ICPR
2002
IEEE
14 years 8 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...