Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds.
Jayakrishnan UnnikrishnanMartin VetterliPublished in: IEEE Trans. Inf. Theory (2013)
Keyphrases
- band limited
- low dimensional manifolds
- high dimensional
- low dimensional
- manifold learning
- intrinsic dimensionality
- image reconstruction
- high dimensional data
- sampling rate
- nonlinear dimensionality reduction
- impulse response
- face images
- data points
- fourier domain
- laplacian eigenmaps
- frequency band
- nearest neighbor
- dimensionality reduction
- zero crossing
- parameter space
- continuous domains
- vector space
- dimension reduction
- input space
- latent space
- super resolution
- manifold structure
- higher dimensional
- subspace methods
- metric space
- euclidean space
- machine learning
- noisy data
- sparse representation
- similarity search
- principal component analysis
- feature space
- image processing