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» Max-Margin Additive Classifiers for Detection
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ESANN
2008
13 years 8 months ago
Detecting zebra crossings utilizing AdaBoost
This paper introduces a visual zebra crossing detector based on the Viola-Jones approach. The basic properties of this cascaded classifier and the use of integral images are explai...
Ludwig Lausser, Friedhelm Schwenker, Günther ...
SIGCOMM
2003
ACM
14 years 17 days ago
A framework for classifying denial of service attacks
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- o...
Alefiya Hussain, John S. Heidemann, Christos Papad...
CVPR
2004
IEEE
14 years 9 months ago
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
CVPR
2005
IEEE
14 years 9 months ago
Robust Object Detection via Soft Cascade
We describe a method for training object detectors using a generalization of the cascade architecture, which results in a detection rate and speed comparable to that of the best p...
Lubomir D. Bourdev, Jonathan Brandt
ICPR
2002
IEEE
14 years 8 months ago
Fast Face Detection with Precise Pose Estimation
We present a fast algorithm for face detection and precise pose estimation. Our detection scheme is based on a tree-structured hierarchy of face vs. background classifiers combine...
Donald Geman, François Fleuret