A Holistic Classification Optimization Framework with Feature Selection, Preprocessing, Manifold Learning and Classifiers.
Fabian BürgerJosef PauliPublished in: ICPRAM (Selected Papers) (2015)
Keyphrases
- feature selection
- manifold learning
- preprocessing
- feature extraction
- dimension reduction
- support vector
- dimensionality reduction
- feature set
- decision trees
- classification accuracy
- feature space
- feature mapping
- feature selection algorithms
- ensemble classifier
- svm classifier
- feature subset
- support vector machine
- text classification
- semi supervised
- high dimensionality
- machine learning
- kernel machines
- pattern recognition
- class labels
- feature subspace
- subspace learning
- riemannian manifolds
- preprocessing step
- nonlinear dimensionality reduction
- manifold embedding
- high dimensional data
- support vector machine svm
- least squares
- training set
- neural network
- pattern classification
- low dimensional
- multiple kernel learning
- multi class
- high dimensional
- image processing
- computer vision
- laplacian eigenmaps
- data sets