High dimensional low sample size activity recognition using geometric classifiers.
Muhammad Shahzad CheemaAbdalrahman EweiwiChristian BauckhagePublished in: Digit. Signal Process. (2015)
Keyphrases
- sample size
- small sample
- small sample size
- high dimensional
- statistical tests
- model selection
- upper bound
- random sampling
- number of training samples
- covariance matrix
- statistical hypothesis testing
- pac learning
- support vector
- confidence intervals
- generalization error
- training samples
- variance reduction
- statistical power
- training data
- progressive sampling
- vc dimension
- feature selection
- low dimensional
- training set
- decision trees
- data mining
- gene expression data
- statistical significance
- sample complexity
- classification algorithm
- class labels
- training instances
- feature set
- worst case
- random sample
- small samples
- data streams