13 search results - page 1 / 3 » Linear dimensionality reduction by maximizing the Chernoff d... |
PR
2008
13 years 10 months ago
2008
AI
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. We present a performance analysis of three linear dimensionality reduction techniques: Fisher's discriminant analysis (FDA), and two methods introduced recently base...
CIARP
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. A theoretical analysis for comparing two linear dimensionality reduction (LDR) techniques, namely Fisher's discriminant (FD) and Loog-Duin (LD) dimensionality reduci...
PKDD
2010
Springer
13 years 8 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...
IVC
2007
13 years 10 months ago
2007
Many natural image sets are samples of a low-dimensional manifold in the space of all possible images. When the image data set is not a linear combination of a small number of bas...