Manifold Learning for Jointly Modeling Topic and Visualization.
Tuan M. V. LeHady Wirawan LauwPublished in: AAAI (2014)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimension reduction
- nonlinear dimensionality reduction
- semi supervised
- dimension reduction
- high dimensional
- high dimensional data
- subspace learning
- feature extraction
- laplacian eigenmaps
- diffusion maps
- feature space
- manifold structure
- discriminant projection
- data analysis
- sparse representation
- neural network
- pattern recognition
- geodesic distance
- feature selection
- head pose estimation
- manifold learning algorithm
- nonlinear manifold
- singular value decomposition
- manifold embedding
- locality preserving
- nearest neighbor
- face recognition
- computer vision