228 search results - page 5 / 46 » Ensemble Learning Based on Multi-Task Class Labels |
ICANN
2005
Springer
14 years 23 days ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Many computer vision applications, such as scene analysis and medical image interpretation, are ill-suited for traditional classification where each image can only be associated w...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
AAAI
2008
13 years 9 months ago
2008
It is well-known that diversity among base classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods obtain diverse individual learners through res...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random r...