149 search results - page 26 / 30 » Semi-supervised nonlinear dimensionality reduction |
PKDD
2005
Springer
14 years 2 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...
ESANN
2007
13 years 10 months ago
2007
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
VLDB
2001
ACM
14 years 8 months ago
2001
ACM
Abstract. The optimized distance-based access methods currently available for multidimensional indexing in multimedia databases have been developed based on two major assumptions: ...
WACV
2005
IEEE
14 years 2 months ago
2005
IEEE
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...
IDEAL
2004
Springer
14 years 2 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...