View-Clustering and Manifold Learning for Sketch-Based 3D Model Retrieval.
Yukinori KuritaRyutarou OhbuchiPublished in: CW (2013)
Keyphrases
- manifold learning
- high dimensional data
- locality preserving
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- subspace learning
- data points
- diffusion maps
- clustering algorithm
- k means
- laplacian eigenmaps
- clustering method
- unsupervised learning
- head pose estimation
- dimension reduction
- manifold structure
- intrinsic manifold
- data clustering
- high dimensionality
- sparse representation
- geodesic distance
- riemannian manifolds
- locally linear embedding
- low dimensional manifolds
- manifold embedding
- nonlinear manifold
- neural network
- pairwise
- object recognition
- multiscale
- data mining