141 search results - page 6 / 29 » Learning r-of-k Functions by Boosting |
INTERSPEECH
2010
13 years 1 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is al...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
ECML
2007
Springer
14 years 26 days ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
JMLR
2010
13 years 1 months ago
2010
This is an extended version of the manuscript Torsten Hothorn, Peter B