Active Manifold Learning via Gershgorin Circle Guided Sample Selection.
Hongteng XuHongyuan ZhaRen-Cang LiMark A. DavenportPublished in: AAAI (2015)
Keyphrases
- manifold learning
- sample selection
- active learning
- semi supervised
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- diffusion maps
- training data
- high dimensional
- dimension reduction
- feature extraction
- selection strategy
- high dimensional data
- laplacian eigenmaps
- support vector machine
- sparse representation
- low dimensional manifolds
- manifold embedding
- genetic algorithm
- locally linear embedding
- svm classification
- semi supervised learning
- signal processing
- principal component analysis
- face recognition
- machine learning