226 search results - page 11 / 46 » Nonlinear Nonnegative Component Analysis |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
NIPS
2008
13 years 9 months ago
2008
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
NIPS
2008
13 years 9 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
CVPR
2005
IEEE
14 years 9 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...