Sparse estimation based on square root nonconvex optimization in high-dimensional data.
He JiangPublished in: Neurocomputing (2018)
Keyphrases
- high dimensional data
- square root
- high dimensional
- sparse representation
- low dimensional
- dimensionality reduction
- euclidean space
- nearest neighbor
- high dimensionality
- kalman filtering
- subspace clustering
- data points
- similarity search
- manifold learning
- dimension reduction
- arrival rate
- data analysis
- data sets
- floating point
- input space
- low rank
- visual data
- linear discriminant analysis
- input data
- image data
- probability density function
- convex optimization
- objective function
- steady state
- riemannian manifolds
- distance transform
- multi dimensional
- feature space
- image sequences
- decision trees
- computer vision