Dimensionality Reduction by Local Discriminative Gaussians.
Nathan ParrishMaya R. GuptaPublished in: ICML (2012)
Keyphrases
- dimensionality reduction
- class discrimination
- feature extraction
- unsupervised learning
- feature selection
- low dimensional
- data representation
- linear combination
- high dimensionality
- high dimensional data
- principal component analysis
- latent space
- high dimensional
- pattern recognition
- lower dimensional
- linear discriminant analysis
- dimensionality reduction methods
- discriminative information
- semi supervised
- data points
- discriminative power
- feature space
- manifold learning
- structure preserving
- subspace learning
- random projections
- nonlinear dimensionality reduction
- gaussian mixture model
- mixture model
- linear dimensionality reduction
- discriminative features
- nearest neighbor
- principal components
- probability density function
- discriminant analysis
- metric learning
- dimension reduction
- graph embedding
- knn
- generative model
- face recognition