1568 search results - page 26 / 314 » Boosting Object Detection Using Feature Selection |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...
ENC
2004
IEEE
13 years 11 months ago
2004
IEEE
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
NIPS
2007
13 years 8 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
ILP
2003
Springer
14 years 18 days ago
2003
Springer
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...