16 search results - page 1 / 4 » Model-based Boosting 2.0 |
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
We propose abc-boost (adaptive base class boost) for multi-class classification and present abc-mart, an implementation of abcboost, based on the multinomial logit model. The key ...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...