Generalized Laplacian precision matrix estimation for graph signal processing.
Eduardo PavezAntonio OrtegaPublished in: ICASSP (2016)
Keyphrases
- signal processing
- laplacian matrix
- adjacency matrix
- spectral decomposition
- graph laplacian
- random walk
- spectral methods
- eigenvalue decomposition
- graph representation
- spectral clustering
- minimum spanning tree
- bipartite graph
- fourier transform
- heat kernel
- parameter estimation
- graph matching
- eigenvalues and eigenvectors
- graph model
- weighted graph
- computer vision
- similarity matrix
- graph structure
- directed graph
- connected components
- filter bank
- eigenvalue problems
- graph mining
- graph databases
- high precision
- edge detection
- multiresolution
- image processing
- spectral analysis
- graph partitioning
- directed acyclic graph
- signal analysis
- matrix representation
- pseudo inverse
- structured data
- transition matrix
- low dimensional