Biomedical Data Analysis by Supervised Manifold Learning.
Andrés Marino Álvarez-MezaGenaro Daza-SantacolomaGermán Castellanos-DomínguezPublished in: EMBC (2012)
Keyphrases
- manifold learning
- data analysis
- semi supervised
- high dimensional data
- discriminant projection
- dimensionality reduction
- low dimensional
- supervised learning
- nonlinear dimensionality reduction
- dimension reduction
- manifold learning algorithm
- unsupervised learning
- machine learning
- subspace learning
- diffusion maps
- high dimensional
- semi supervised learning
- data mining
- feature extraction
- text mining
- cluster analysis
- labeled data
- neighborhood preserving embedding
- laplacian eigenmaps
- locally linear embedding
- feature selection
- active learning
- pairwise
- high dimensionality
- geodesic distance
- label information
- manifold structure
- nonlinear manifold
- locality preserving
- head pose estimation
- signal processing
- data sets
- image representation
- nearest neighbor
- graph embedding
- object recognition
- feature space
- metric learning