Online Low-Rank Tensor Subspace Tracking from Incomplete Data by CP Decomposition using Recursive Least Squares.
Hiroyuki KasaiPublished in: CoRR (2016)
Keyphrases
- low rank
- incomplete data
- missing data
- tensor decomposition
- recursive least squares
- missing values
- high dimensional data
- trace norm
- kalman filtering
- high order
- kalman filter
- matrix factorization
- structure from motion
- dimensionality reduction
- linear combination
- low dimensional
- higher order
- em algorithm
- high dimensional
- convex optimization
- data sets
- small number
- object tracking
- particle filter
- appearance model
- neural network
- semi supervised
- training set
- feature extraction
- data mining