Achievable Angles Between Two Compressed Sparse Vectors Under Norm/Distance Constraints Imposed by the Restricted Isometry Property: A Plane Geometry Approach.
Ling-Hua ChangJwo-Yuh WuPublished in: IEEE Trans. Inf. Theory (2013)
Keyphrases
- three dimensional
- geometrical constraints
- geometric constraints
- relative position
- euclidean geometry
- sparse representation
- regularized least squares
- anti monotone
- low rank matrices
- distance measure
- compressive sensing
- monotonicity property
- camera calibration
- vector field
- convex optimization
- distance transform
- hilbert space
- triangle inequality
- feature vectors
- data structure