Subspace Least Squares Multidimensional Scaling.
Amit BoyarskiAlexander M. BronsteinMichael M. BronsteinPublished in: SSVM (2017)
Keyphrases
- multidimensional scaling
- least squares
- low dimensional
- dimensionality reduction
- principal component analysis
- kernel pca
- high dimensional
- latent structure
- high dimensional data
- feature space
- dimension reduction
- optical flow
- vector space
- manifold learning
- data points
- euclidean space
- cluster analysis
- euclidean distance
- feature extraction
- input space
- similarity search
- singular value decomposition
- image sequences
- ls svm
- kernel matrix
- pattern recognition
- support vector
- face recognition