19 search results - page 2 / 4 » Gradient Feature Selection for Online Boosting |
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
CVPR
2007
IEEE
14 years 7 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...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
TCSV
2008
13 years 5 months ago
2008
Efficiently and accurately detecting pedestrians plays a very important role in many computer vision applications such as video surveillance and smart cars. In order to find the ri...