100 search results - page 1 / 20 » Robust Object Detection using Fast Feature Selection from Hu... |
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
ESANN
2006
13 years 6 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...