Representations of Streetscape Perceptions Through Manifold Learning in the Space of Hough Arrays.
Stephan K. ChalupRiley ClementJoshua MarshallChris TuckerMichael J. OstwaldPublished in: ALIFE (2007)
Keyphrases
- manifold learning
- low dimensional
- intrinsic manifold
- high dimensional
- dimensionality reduction
- low dimensional manifolds
- high dimensional data
- embedding space
- geodesic distance
- nonlinear dimensionality reduction
- diffusion maps
- semi supervised
- parameter space
- manifold structure
- subspace learning
- feature extraction
- dimension reduction
- lower dimensional
- data points
- principal component analysis
- data sets
- head pose estimation
- vector space
- riemannian manifolds
- laplacian eigenmaps
- manifold learning algorithm
- nonlinear manifold
- latent space
- neural network
- sparse representation
- data mining
- least squares
- locality preserving
- learning algorithm
- underlying manifold