Regularization parameter choice in locally linear embedding.
Genaro Daza-SantacolomaCarlos Daniel Acosta-MedinaGermán Castellanos-DomínguezPublished in: Neurocomputing (2010)
Keyphrases
- regularization parameter
- locally linear embedding
- image restoration
- dimensional data
- dimensionality reduction
- cross validation
- low dimensional
- manifold learning
- high dimensional
- high dimensional data
- hyperparameters
- principal component analysis
- subspace learning
- geodesic distance
- learning algorithm
- dimensionality reduction methods
- data sets
- pattern recognition
- closed form
- incremental learning
- image processing
- natural images
- nearest neighbor
- semi supervised
- support vector