3 search results - page 1 / 1 » Generalized Sparse Classifiers for Decoding Cognitive States... |
MICCAI
2010
Springer
13 years 3 months ago
2010
Springer
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
CVPR
2011
IEEE
12 years 8 months ago
2011
IEEE
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
IPMI
2011
Springer
12 years 8 months ago
2011
Springer
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...