The Use of isometric transformations and bayesian estimation in compressive sensing for fMRI classification.
Avishy CarmiTara N. SainathPini GurfilDimitri KanevskyDavid NahamooBhuvana RamabhadranPublished in: ICASSP (2010)
Keyphrases
- bayesian estimation
- compressive sensing
- pattern recognition
- feature vectors
- random projections
- decision trees
- feature extraction
- image classification
- machine learning
- support vector
- feature selection
- sparse representation
- support vector machine
- sample size
- image reconstruction
- high dimensionality
- hidden variables
- supervised learning
- feature space