Compressive sensing Petrov-Galerkin approximation of high-dimensional parametric operator equations.
Holger RauhutChristoph SchwabPublished in: Math. Comput. (2017)
Keyphrases
- compressive sensing
- high dimensional
- differential equations
- random projections
- image recovery
- sparse representation
- dimensionality reduction
- compressive sampling
- low dimensional
- signal processing
- image representation
- dimension reduction
- high dimensional data
- similarity search
- high dimensionality
- feature space
- partial differential equations
- distributed source coding
- data sets
- pattern recognition
- sparse coding
- variable selection
- convex sets
- feature vectors
- learning algorithm
- marginal likelihood
- nearest neighbor