Robust Manifold Learning Based Ordinal Discriminative Correlation Regression.
Qing TianWenqiang ZhangLiping WangPublished in: ICCCS (6) (2018)
Keyphrases
- manifold learning
- semi supervised
- dimensionality reduction
- feature extraction
- locality preserving
- nonlinear dimensionality reduction
- low dimensional
- dimension reduction
- high dimensional
- diffusion maps
- latent space
- laplacian eigenmaps
- high dimensional data
- head pose estimation
- sparse representation
- regression model
- subspace learning
- manifold structure
- generative model
- model selection
- data analysis
- image features
- decision trees
- preprocessing
- embedding space
- feature space
- image retrieval
- locally linear embedding
- semi supervised learning
- geodesic distance
- gaussian processes
- support vector regression
- least squares
- feature selection