Uncertainty Principles and Sparse Eigenvectors of Graphs.
Oguzhan TekeP. P. VaidyanathanPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- eigenvalue decomposition
- eigenvalues and eigenvectors
- principal component analysis
- gaussian graphical models
- uncertain data
- covariance matrix
- spectral clustering
- graph matching
- directed acyclic
- laplacian matrix
- sparse data
- sparse coding
- graph model
- sparse representation
- conditional probabilities
- high dimensional
- graphical models
- robust optimization
- graph theoretic
- graph databases
- graph mining
- graph theory
- principal components
- graph data
- hessian matrix
- belief functions