Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization.
Qiquan ShiYiu-Ming CheungQibin ZhaoHaiping LuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- low rank
- incomplete data
- tensor decomposition
- missing data
- rank minimization
- feature extraction
- trace norm
- missing values
- feature vectors
- matrix factorization
- matrix completion
- low rank matrix
- feature set
- structure from motion
- hyperparameters
- convex optimization
- high order
- singular value decomposition
- data matrix
- linear combination
- semi supervised
- auxiliary information
- bayesian networks
- image processing
- regularization parameter
- feature space
- feature selection
- data representation
- high dimensional data
- image classification
- principal component analysis
- image denoising
- gaussian process
- image data
- high dimensional
- pattern recognition
- decision trees
- learning algorithm