Discriminative dimensionality reduction for regression problems using the Fisher metric.
Alexander SchulzBarbara HammerPublished in: IJCNN (2015)
Keyphrases
- regression problems
- dimensionality reduction
- high dimensional data
- input space
- metric learning
- feature selection
- feature extraction
- genetic programming
- cross validation
- linear regression
- high dimensional
- multi task
- low dimensional
- semi supervised
- principal component analysis
- pattern recognition
- linear discriminant analysis
- feature space
- data points
- random forests
- data sets
- model selection
- support vector
- image processing
- nearest neighbor
- data analysis
- text categorization
- semi supervised learning
- least squares