719 search results - page 106 / 144 » Discriminative learning for differing training and test dist... |
IPMI
2009
Springer
14 years 3 months ago
2009
Springer
We propose a method for estimating confidence regions around shapes predicted from partial observations, given a statistical shape model. Our method relies on the estimation of the...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
SIGPRO
2010
13 years 3 months ago
2010
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
ML
2010
ACM
13 years 3 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...