Input Decimation Ensembles: Decorrelation through Dimensionality Reduction.
Nikunj C. OzaKagan TumerPublished in: Multiple Classifier Systems (2001)
Keyphrases
- dimensionality reduction
- high dimensional
- data representation
- high dimensional data
- principal component analysis
- low dimensional
- decision trees
- dimensionality reduction methods
- principal components
- independent component analysis
- high dimensionality
- input data
- least squares
- input space
- random projections
- training data
- manifold learning
- feature extraction
- metric learning
- classifier ensemble
- computer vision
- structure preserving
- pattern recognition and machine learning