Upper bounds in a discrete feature space.
C. E. QueirosEdzard S. GelsemaPublished in: Pattern Recognit. Lett. (1989)
Keyphrases
- upper bound
- feature space
- lower bound
- lower and upper bounds
- upper and lower bounds
- high dimensional
- branch and bound algorithm
- sample size
- image representation
- feature selection
- principal component analysis
- tight bounds
- image retrieval
- feature extraction
- kernel function
- high dimensionality
- worst case
- feature vectors
- discrete geometry
- training set
- sample complexity
- error probability
- linear discriminant analysis
- dissimilarity measure
- input space
- support vector machine
- dimensionality reduction
- classification accuracy
- upper bounding
- high dimensional feature space
- neural network
- similarity measure
- training samples