Discriminative Dimensionality Reduction Mappings.
Andrej GisbrechtDaniela HofmannBarbara HammerPublished in: IDA (2012)
Keyphrases
- dimensionality reduction
- class discrimination
- feature extraction
- unsupervised learning
- feature selection
- latent space
- principal component analysis
- high dimensional
- low dimensional
- high dimensional data
- high dimensionality
- pattern recognition
- data representation
- data points
- structure preserving
- class separability
- feature space
- dimension reduction
- discriminative information
- dimensionality reduction methods
- random projections
- subspace learning
- pattern recognition and machine learning
- principal components
- discriminative features
- discriminative power
- manifold learning
- singular value decomposition
- lower dimensional
- nonlinear dimensionality reduction
- linear discriminant analysis
- linear dimensionality reduction
- semi supervised
- metric learning
- multidimensional scaling
- schema mappings
- image processing