1568 search results - page 4 / 314 » Boosting Object Detection Using Feature Selection |
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
CLEAR
2007
Springer
14 years 1 months ago
2007
Springer
Given the spectral difference between speech and acoustic events, we propose using Kullback-Leibler distance to quantify the discriminant capability of all speech feature componen...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
ICCCN
2007
IEEE
13 years 7 months ago
2007
IEEE
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...