Small sample size effects in statistical pattern recognition: recommendations for practitioners and open problems.
Sarunas RaudysAnil K. JainPublished in: ICPR (1) (1990)
Keyphrases
- open problems
- statistical pattern recognition
- small sample size
- sample size
- high dimensionality
- database theory
- linear discriminant analysis
- long standing
- high dimensional
- microarray data
- face recognition
- pattern recognition
- sample space
- denoising
- high dimensional data
- feature extraction
- structural pattern recognition
- dimensionality reduction
- nearest neighbor
- recommender systems
- feature selection
- computational advertising
- upper bound
- discriminant embedding
- general linear model
- database
- minimum classification error
- dimension reduction
- probabilistic model
- support vector
- real world