D2KE: From Distance to Kernel and Embedding.
Lingfei WuIan En-Hsu YenFangli XuPradeep RavikumarMichael WitbrockPublished in: CoRR (2018)
Keyphrases
- kernel function
- graph embedding
- laplacian eigenmaps
- distance measure
- euclidean distance
- geodesic distance
- support vector
- jensen shannon
- pairwise distances
- vector space
- kernel methods
- distance matrix
- nonlinear dimensionality reduction
- kernel regression
- watermarking algorithm
- embedding space
- minimum distance
- multidimensional scaling
- hamming distance
- gaussian processes
- manifold learning
- distance function
- pairwise
- feature space