Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition.
Qiquan ShiYiu-ming CheungQibin ZhaoPublished in: ECML/PKDD (1) (2017)
Keyphrases
- incomplete data
- low rank
- missing data
- tensor decomposition
- feature extraction
- matrix completion
- missing values
- matrix factorization
- kernel matrix
- low rank matrix
- rank minimization
- convex optimization
- feature vectors
- face recognition
- incomplete data sets
- singular values
- high order
- linear combination
- pattern recognition
- em algorithm
- image processing
- matrix decomposition
- singular value decomposition
- principal component analysis
- wavelet transform
- bayesian networks
- trace norm
- low rank matrices
- semi supervised
- feature set
- tensor factorization
- computer vision
- feature space
- data representation
- high dimensional data