Discriminative Dimensionality Reduction Based on Generalized LVQ.
Atsushi SatoPublished in: ICANN (2001)
Keyphrases
- dimensionality reduction
- unsupervised learning
- feature extraction
- class discrimination
- feature selection
- high dimensional
- supervised learning
- high dimensional data
- high dimensionality
- low dimensional
- latent space
- feature space
- semi supervised
- pattern recognition and machine learning
- learning vector quantization
- discriminative information
- lower dimensional
- data representation
- class separability
- principal component analysis
- dimension reduction
- structure preserving
- discriminative power
- linear discriminant analysis
- subspace learning
- pattern recognition
- data points
- dimensionality reduction methods
- discriminative features
- generalization ability
- principal components
- image classification
- locally linear embedding
- nonlinear dimensionality reduction
- object recognition
- feature vectors
- object detection