429 search results - page 37 / 86 » Unsupervised feature selection for principal components anal... |
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
PAMI
2007
13 years 7 months ago
2007
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
TIP
2002
13 years 7 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...
ISDA
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...