Generalized Sampling on Graphs With Subspace and Smoothness Priors.
Yuichi TanakaYonina C. EldarPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- prior information
- low dimensional
- random sampling
- subspace learning
- graph matching
- cost function
- principal component analysis
- dimensionality reduction
- sampling algorithm
- graph theoretic
- feature extraction
- sample size
- prior knowledge
- graph theory
- lower dimensional
- graph clustering
- markov chain monte carlo
- sampling theorem
- graph mining
- weighted graph
- graph structure
- directed graph
- monte carlo
- feature space
- graph databases
- undirected graph
- principal components
- parameter space
- subspace methods