A Computational Framework for Nonlinear Dimensionality Reduction of Large Data Sets: The Exploratory Inspection Machine (XIM)
Axel WismüllerPublished in: CoRR (2011)
Keyphrases
- computational framework
- nonlinear dimensionality reduction
- manifold learning
- high dimensional data
- data sets
- dimensionality reduction
- computational model
- low dimensional
- laplacian eigenmaps
- maximum variance unfolding
- data analysis
- dimensionality reduction methods
- semi supervised
- riemannian manifolds
- locally linear embedding
- multi dimensional
- similarity search
- high dimensional
- pattern recognition
- feature selection
- computer vision