Fast online low-rank tensor subspace tracking by CP decomposition using recursive least squares from incomplete observations.
Hiroyuki KasaiPublished in: CoRR (2017)
Keyphrases
- low rank
- tensor decomposition
- missing data
- recursive least squares
- rank minimization
- high dimensional data
- trace norm
- high order
- kalman filtering
- matrix completion
- matrix factorization
- convex optimization
- linear combination
- regularized regression
- kalman filter
- semi supervised
- neuro fuzzy
- dimensionality reduction
- singular value decomposition
- high dimensional
- visual tracking
- feature space
- subspace learning
- low dimensional
- higher order
- adaptive filtering
- particle filtering
- learning algorithm
- pattern recognition
- particle filter
- autoregressive
- multiresolution
- pairwise
- data points
- support vector machine
- reinforcement learning
- structure from motion
- data sets