The Pairwise Gaussian Random Field for High-Dimensional Data Imputation.
Zhuhua CaiChristopher M. JermaineZografoula VagenaDionysios LogothetisLuis Leopoldo PerezPublished in: ICDM (2013)
Keyphrases
- data imputation
- gaussian random field
- pairwise
- high dimensional
- missing values
- locally linear embedding
- missing data
- high dimensional data
- low dimensional
- likelihood function
- high dimensionality
- parameter space
- manifold learning
- multi dimensional
- semi supervised
- similarity search
- dimensionality reduction
- data points
- feature space
- markov random field
- generalization error
- maximum likelihood
- similarity measure
- dimension reduction
- metric space
- dimensional data
- data sets
- supervised learning
- upper bound
- pattern recognition
- image segmentation
- feature selection