Trainable fusion rules. II. Small sample-size effects.
Sarunas RaudysPublished in: Neural Networks (2006)
Keyphrases
- small sample size
- fusion rules
- sample size
- linear discriminant analysis
- high dimensionality
- high dimensional
- face recognition
- fusion method
- high dimensional data
- microarray data
- dimensionality reduction
- fusion methods
- feature space
- original images
- pattern recognition
- feature selection
- multiresolution
- model selection
- image fusion
- single image
- neural network
- image registration
- lower bound
- machine learning