Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures.
Pengzhi GaoMeng WangJoe H. ChowMatthew BergerLee M. SeverskyPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- missing data
- low dimensional
- high dimensional
- high dimensional data
- missing values
- dimensionality reduction
- linear dimensionality reduction
- low dimensional manifolds
- manifold learning
- incomplete data
- structure from motion
- low rank
- feature space
- input space
- motion segmentation
- similarity search
- dimension reduction
- nearest neighbor
- multiple imputation
- matrix factorization
- noisy data
- gaussian process latent variable models
- high dimensionality
- data points
- principal component analysis
- computer vision
- data imputation
- imprecise data
- missing information
- linear discriminant analysis
- bayesian networks