1313 search results - page 6 / 263 » Dimensionality Reduction for Classification |
94
Voted
SADM
2010
14 years 4 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
CIARP
2006
Springer
15 years 1 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
14 years 7 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...
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
98
Voted
CIARP
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...