Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion.
Wenjie RuanPeipei XuQuan Z. ShengNickolas J. G. FalknerXue LiWei Emma ZhangPublished in: DASFAA (1) (2017)
Keyphrases
- low rank
- missing values
- missing data
- missing entries
- low rank matrix
- sensory data
- rank minimization
- matrix completion
- trace norm
- data matrix
- high dimensional data
- high order
- tensor decomposition
- matrix factorization
- norm minimization
- incomplete data
- convex optimization
- singular value decomposition
- linear combination
- activity recognition
- structure from motion
- singular values
- semi supervised
- moving objects
- sensor data
- sparse matrix
- higher order
- least squares
- neural network
- nearest neighbor
- pattern recognition
- feature selection