Applications of dimensionality reduction and exponential sums to graph automorphism.
Madhusudan ManjunathVikram SharmaPublished in: Theor. Comput. Sci. (2011)
Keyphrases
- dimensionality reduction
- graph construction
- high dimensional data
- directed graph
- data representation
- high dimensionality
- data points
- random walk
- graph theory
- graph model
- neural network
- graph structure
- graph representation
- random variables
- principal component analysis
- graph embedding
- feature space
- structure preserving
- principal components
- weighted graph
- random projections
- feature selection
- manifold learning
- graph matching
- linear discriminant analysis
- high dimensional
- connected components
- pattern recognition and machine learning
- bipartite graph
- feature extraction
- nonlinear dimensionality reduction
- nearest neighbor
- dimensionality reduction methods
- structured data
- web graph
- graph partitioning
- undirected graph
- spanning tree
- directed acyclic graph