7 search results - page 1 / 2 » Linear and Non-Linear Dimensional Reduction via Class Repres... |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
IRI
2007
IEEE
13 years 11 months ago
2007
IEEE
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
NIPS
2008
13 years 6 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
CACM
2010
13 years 5 months ago
2010
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
PR
2008
13 years 4 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...