522 search results - page 4 / 105 » Feature selection for ranking using boosted trees |
ICPR
2008
IEEE
15 years 10 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...
ICCCN
2007
IEEE
14 years 9 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...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
AVSS
2003
IEEE
15 years 2 months ago
2003
IEEE
50
Voted
SIVP
2008
14 years 9 months ago
2008