Dimensionality Reduction by Local Discriminative Gaussians
Nathan ParrishMaya R. GuptaPublished in: CoRR (2012)
Keyphrases
- dimensionality reduction
- class discrimination
- feature extraction
- unsupervised learning
- feature selection
- linear combination
- low dimensional
- latent space
- high dimensional
- high dimensional data
- principal component analysis
- data representation
- discriminative information
- pattern recognition
- high dimensionality
- linear discriminant analysis
- feature space
- subspace learning
- principal components
- manifold learning
- discriminative power
- structure preserving
- nonlinear dimensionality reduction
- dimensionality reduction methods
- semi supervised
- image classification
- gaussian mixture model
- machine learning
- pattern recognition and machine learning
- mixture of gaussians
- discriminative learning
- discriminative features
- metric learning
- sparse representation
- random projections
- object recognition
- pairwise
- dimension reduction
- data points
- neural network