Compressive PCA on Graphs.
Nauman ShahidNathanaël PerraudinGilles PuyPierre VandergheynstPublished in: CoRR (2016)
Keyphrases
- principal component analysis
- random projections
- principal components analysis
- dimensionality reduction
- graph theory
- face recognition
- directed graph
- graph matching
- independent component analysis
- covariance matrix
- feature extraction
- compressive sensing
- high dimensional
- appearance based object recognition
- object recognition
- graph model
- principal components
- graph theoretic
- graph clustering
- principle component analysis
- series parallel
- discriminant analysis
- feature space
- complex structures
- neural network
- pairwise
- subspace methods
- graph construction
- labeled graphs