928 search results - page 7 / 186 » The Rate of Convergence of AdaBoost |
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Object detection can be posted as those classification tasks where the rare positive patterns are to be distinguished from the enormous negative patterns. To avoid the danger of m...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid?level features. These featur...
ICONIP
2008
13 years 9 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
A camera-based online signature verification system is proposed in this paper. One web camera is used for data acquisition, and a sequential Monte Carlo method is used for tracki...
HIS
2004
13 years 8 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...