Graph Embedding in Vector Spaces Using Matching-Graphs.
Mathias FuchsKaspar RiesenPublished in: SISAP (2021)
Keyphrases
- graph embedding
- vector space
- low dimensional
- graph matching
- graph classification
- dimensionality reduction
- discriminant analysis
- data representation
- similarity search
- high dimensional
- euclidean space
- matching algorithm
- semi supervised
- manifold learning
- data points
- principal component analysis
- subspace learning
- image matching
- feature representation
- high dimensional data
- distance measure
- feature selection
- computer vision
- feature points
- feature vectors
- feature space
- pattern recognition
- machine learning
- dictionary learning
- face recognition
- riemannian manifolds