Efficient performance estimation with very small sample size via physical subspace projection and maximum a posteriori estimation.
Li YuSharad SaxenaChristopher HessIbrahim M. ElfadelDimitri A. AntoniadisDuane S. BoningPublished in: DATE (2014)
Keyphrases
- neural network
- maximum a posteriori estimation
- small sample size
- subspace projection
- high dimensionality
- sample size
- linear discriminant analysis
- gaussian distribution
- component analysis
- data mining
- high dimensional data
- knowledge discovery
- face recognition
- dimensionality reduction
- principal component analysis
- subspace clustering
- high dimensional