Low-rank, sparse and line constrained estimation: Applications to target tracking and convergence.
Amr ElnakeebUrbashi MitraPublished in: ISIT (2017)
Keyphrases
- target tracking
- low rank
- regularized regression
- low rank matrix
- rank minimization
- low rank matrices
- nuclear norm
- convex optimization
- kalman filter
- linear combination
- missing data
- data fusion
- matrix factorization
- singular value decomposition
- matrix completion
- semi supervised
- high order
- mean shift
- multi sensor
- particle filter
- moving target
- data association
- high dimensional data
- video camera
- sparse matrix
- higher order
- high dimensional
- computer vision
- object tracking
- collaborative filtering
- multiresolution