On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements.
Akshay SoniJarvis D. HauptPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- fundamental limits
- tree structure
- linearly independent
- measurement noise
- sparse data
- noisy measurements
- feature vectors
- sparse approximation
- high quality
- high dimensional
- linear models
- successive approximation
- tree nodes
- hilbert space
- binary tree
- linear constraints
- linear systems
- neural network
- principal components
- closed form
- vector space
- sparse representation
- super resolution
- data structure
- feature extraction
- computer vision