55 search results - page 10 / 11 » Online Learning Asymmetric Boosted Classifiers for Object De... |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper we propose a novel method for demographic classification and present an image retrieval system that can retrieve facial images by demographic information that includ...
CLOR
2006
13 years 10 months ago
2006
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
ICIP
2007
IEEE
13 years 10 months ago
2007
IEEE
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper, a novel feature named Adaptive Contour
Feature (ACF) is proposed for human detection and segmentation.
This feature consists of a chain of a number of
granules in...
SMC
2007
IEEE
14 years 1 months ago
2007
IEEE
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...