Diffusion wavelet embedding: A multi-resolution approach for graph embedding in vector space.
Hoda BahonarAbdolreza MirzaeiRichard C. WilsonPublished in: Pattern Recognit. (2018)
Keyphrases
- vector space
- graph embedding
- multiresolution
- low dimensional
- wavelet transform
- wavelet coefficients
- high dimensional
- dimensionality reduction
- discriminant analysis
- discriminant embedding
- semi supervised
- high dimensional data
- data representation
- euclidean space
- anisotropic diffusion
- principal component analysis
- data points
- latent semantic indexing
- embedding space
- manifold learning
- subspace learning
- subband
- feature representation
- feature vectors
- dictionary learning
- covariance matrices
- similarity search
- feature space
- face recognition
- distance measure
- denoising
- multiscale
- feature extraction