61 search results - page 8 / 13 » Ensemble Methods for Boosting Visualization Models |
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
SAC
2004
ACM
14 years 3 months ago
2004
ACM
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
MVA
2010
13 years 8 months ago
2010
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...