Spaceland Embedding of Sparse Stochastic Graphs.
Nikos PitsianisAlexandros-Stavros IliopoulosDimitris FlorosXiaobai SunPublished in: HPEC (2019)
Keyphrases
- graph embedding
- spectral embedding
- gaussian graphical models
- high dimensional
- stochastic optimization
- graph theoretic
- directed acyclic
- sparse representation
- vector space
- graph matching
- sparse data
- graph databases
- dictionary learning
- nonlinear dimensionality reduction
- random projections
- graph representation
- neural network
- graph model
- directed graph
- monte carlo
- graph partitioning
- graph data
- graph clustering
- graph mining
- sparse coding
- digital images
- face recognition