Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds
Jayakrishnan UnnikrishnanMartin VetterliPublished in: CoRR (2011)
Keyphrases
- band limited
- low dimensional manifolds
- high dimensional
- low dimensional
- manifold learning
- intrinsic dimensionality
- image reconstruction
- high dimensional data
- sampling rate
- face images
- dimensionality reduction
- nonlinear dimensionality reduction
- impulse response
- zero crossing
- data points
- subspace methods
- similarity search
- fourier domain
- laplacian eigenmaps
- manifold structure
- parameter space
- frequency band
- vector space
- feature space
- input space
- higher dimensional
- nearest neighbor
- computer vision
- continuous domains
- latent space
- scale space
- euclidean space
- metric space
- sparse coding
- semi supervised
- principal component analysis