Online low-rank tensor subspace tracking from incomplete data by CP decomposition using recursive least squares.
Hiroyuki KasaiPublished in: ICASSP (2016)
Keyphrases
- low rank
- incomplete data
- missing data
- tensor decomposition
- recursive least squares
- trace norm
- missing values
- high dimensional data
- kalman filtering
- matrix factorization
- dimensionality reduction
- high order
- convex optimization
- linear combination
- kalman filter
- high dimensional
- bayesian networks
- particle filter
- singular value decomposition
- low dimensional
- object tracking
- appearance model
- structure from motion
- nearest neighbor
- particle filtering
- em algorithm
- learning algorithm
- mean shift
- feature space
- feature extraction
- decision trees