Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach.
Keke HuangWencai CaoHoang TaXiaokui XiaoPietro LiòPublished in: CoRR (2024)
Keyphrases
- adaptive filtering
- graph theory
- low dimensional
- graph structure
- directed graph
- filter coefficients
- graph model
- adaptive filter
- feature extraction
- graph theoretic
- spanning tree
- structured data
- high dimensional data
- subspace clusters
- random walk
- noise suppression
- graph representation
- spatially adaptive
- feature space
- decision directed
- interpolation filter
- learning algorithm
- subspace methods
- subspace clustering
- graph mining
- weighted graph
- graph matching
- dimensionality reduction
- wavelet transform