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» Face detection using large margin classifiers
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ICCV
2009
IEEE
15 years 2 months ago
Patch based Within-Object Classification
Advances in object detection have made it possible to collect large databases of certain objects. In this paper we exploit these datasets for within-object classification. For e...
Jania Aghajanian, Jonathan Warrell, Simon J.D. Pri...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
CVPR
2005
IEEE
14 years 11 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
PR
2006
155views more  PR 2006»
13 years 9 months ago
3D face detection using curvature analysis
Face detection is a crucial preliminary in many applications. Most all the approaches to face detection have focused on the use of two-dimensional images. We present an innovative...
Alessandro Colombo, Claudio Cusano, Raimondo Schet...
ICASSP
2011
IEEE
13 years 1 months ago
Combining Haar Feature and skin color based classifiers for face detection
This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed f...
Çigdem Eroglu Erdem, Sezer Ulukaya, Ali Kar...