Representation Optimization with Feature Selection and Manifold Learning in a Holistic Classification Framework.
Fabian BürgerJosef PauliPublished in: ICPRAM (1) (2015)
Keyphrases
- manifold learning
- feature selection
- feature extraction
- dimension reduction
- classification accuracy
- dimensionality reduction
- support vector machine
- feature space
- feature mapping
- model selection
- support vector
- high dimensionality
- manifold embedding
- low dimensional
- semi supervised
- high dimensional data
- high dimensional
- machine learning
- laplacian eigenmaps
- diffusion maps
- feature subset
- nonlinear manifold
- pattern recognition
- support vector machine svm
- image representation
- multi task
- latent space
- decision trees
- computer vision
- image classification
- subspace learning
- dimensionality reduction methods
- feature set
- nearest neighbor