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» Max-Margin Additive Classifiers for Detection
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ESANN
2008
15 years 3 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 ...
97
Voted
SIGCOMM
2003
ACM
15 years 7 months 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
16 years 3 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
16 years 3 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
16 years 2 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