91 search results - page 6 / 19 » Online Non-stationary Boosting |
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
ICCCN
2007
IEEE
13 years 8 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...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
JMLR
2010
13 years 3 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
COLT
2000
Springer
14 years 27 days ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...