Partitioning of feature space for pattern classification.
Deba Prasad MandalPublished in: Pattern Recognit. (1997)
Keyphrases
- pattern classification
- feature space
- feature extraction
- pattern recognition
- feature vectors
- vowel recognition
- input space
- high dimensional
- mean shift
- probabilistic neural network
- fuzzy classifier
- decision boundary
- high dimensionality
- kernel function
- dimensionality reduction
- data points
- nearest neighbor rule
- principal component analysis
- feature selection
- pattern classification problems
- maximum margin
- training samples
- support vector machine
- image representation
- classification accuracy
- gaussian mixture model
- mass spectrometry data
- high dimensional feature space
- riemannian manifolds
- image classification
- training set
- hyperplane
- training data
- signal processing
- feature set
- linear discriminant analysis
- sparse representation
- discriminant embedding
- image retrieval