Prime Rigid Graphs and Multidimensional Scaling with Missing Data.
Magnus OskarssonKalle ÅströmAnna TorstenssonPublished in: ICPR (2014)
Keyphrases
- missing data
- multidimensional scaling
- missing values
- low dimensional
- low rank
- incomplete data
- structure from motion
- kernel pca
- cluster analysis
- latent structure
- vector space
- principal component analysis
- euclidean distance
- dimensionality reduction
- high dimensional
- matrix factorization
- kernel matrix
- support vector
- least squares
- pairwise
- feature space
- latent semantic indexing
- feature extraction
- image sequences