349 search results - page 36 / 70 » Information Preserving Dimensionality Reduction |
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
In this paper we introduce a novel approach to manifold alignment, based on Procrustes analysis. Our approach differs from "semisupervised alignment" in that it results ...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
AUSAI
2007
Springer
14 years 4 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
KES
2010
Springer
13 years 8 months ago
2010
Springer
— This work presents related areas of research, types of data collections that are visualized, technical aspects of generating visualizations, and evaluation methodologies. Exist...
CONTEXT
2007
Springer
14 years 4 months ago
2007
Springer
Indexing is often designed with the intent of dimensional reduction, that is, of generating standardised and uniform descriptive metadata. This could be characterised as a process ...