A new upper bound for the VC-dimension of visibility regions.
Alexander GilbersRolf KleinPublished in: SCG (2011)
Keyphrases
- upper bound
- vc dimension
- lower bound
- sample complexity
- concept classes
- covering numbers
- vapnik chervonenkis dimension
- empirical risk minimization
- distribution free
- statistical learning theory
- worst case
- generalization bounds
- concept class
- sample size
- uniform convergence
- pac learning
- pac learnability
- generalization error
- learning theory
- support vector
- image processing