208 search results - page 22 / 42 » Robust Kernel Principal Component Analysis |
NIPS
2008
14 years 11 months ago
2008
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
60
Voted
ICPR
2002
IEEE
15 years 10 months ago
2002
IEEE
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
71
Voted
IDA
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
In this paper, we propose a novel explicit 2D+t cyclic shape model that extends the Point Distribution Model (PDM) to shapes like myocardial contours with cyclic dynamics. We also ...
TNN
2008
14 years 9 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...