Multi-vector feature space based on pseudo-Euclidean space and oblique basis.
Yasuo YamaneTadashi HoshiaiHiroshi TsudaManabu OhtaKaoru KatayamaHiroshi IshikawaPublished in: Multim. Tools Appl. (2006)
Keyphrases
- euclidean space
- riemannian manifolds
- feature space
- vector space
- low dimensional
- data points
- feature vectors
- pairwise distances
- euclidean distance
- shape analysis
- high dimensional
- metric space
- embedding space
- multi dimensional scaling
- dimensionality reduction
- quadratic form
- geodesic distance
- dimensional euclidean space
- input space
- discrete space
- feature extraction
- kernel methods
- distance metric
- training samples
- dimension reduction
- kernel function
- nearest neighbor
- lie group
- image retrieval
- training set
- feature selection
- constant curvature
- machine learning