On dimensionality and sample size in statistical pattern classification.
Laveen N. KanalB. ChandrasekaranPublished in: Pattern Recognit. (1971)
Keyphrases
- pattern classification
- sample size
- confidence intervals
- statistical tests
- hypothesis tests
- pattern recognition
- model selection
- random sampling
- covariance matrix
- pattern classification problems
- statistical power
- small sample size
- high dimensional
- small sample
- pac learning
- feature extraction
- progressive sampling
- upper bound
- dimensionality reduction
- random sample
- nearest neighbor rule
- worst case
- variance reduction
- parzen window
- small samples
- support vector
- high dimensionality
- image representation
- feature space
- discriminant embedding
- data structure