The Homology Kernel: A Biologically Motivated Sequence Embedding into Euclidean Space.
Eleazar EskinSagi SnirPublished in: CIBCB (2005)
Keyphrases
- euclidean space
- biologically motivated
- embedding space
- laplacian eigenmaps
- vector space
- pairwise distances
- geodesic distance
- riemannian manifolds
- multi dimensional scaling
- low dimensional
- shape analysis
- metric space
- data points
- euclidean distance
- selective attention
- object recognition
- graph embedding
- manifold learning
- multiscale
- receptive fields
- natural scenes
- dimensionality reduction
- saliency map
- kernel function
- image analysis
- distance measure
- multi dimensional
- similarity measure
- high dimensional
- high dimensional data
- distance function