5603 search results - page 953 / 1121 » Feature Selection for Clustering |
179
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MICCAI
2007
Springer
16 years 7 months ago
2007
Springer
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
132
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MICCAI
2003
Springer
16 years 7 months ago
2003
Springer
Abstract. We perform discriminative analysis of brain structures using morphometric information. Spherical harmonics technique and point distribution model are used for shape descr...
196
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MICCAI
2005
Springer
16 years 7 months ago
2005
Springer
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
198
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
197
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...