141 search results - page 4 / 29 » Grouping and dimensionality reduction by locally linear embe... |
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
CRV
2005
IEEE
14 years 1 months ago
2005
IEEE
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...