Prime Rigid Graphs and Multidimensional Scaling with Missing Data.

Magnus Oskarsson Kalle Åström Anna Torstensson

Published 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