Sparsity in function and derivative approximation via the empirical feature space.
Sumit Soman JayadevaRajat ThakurMayank SharmaSuresh ChandraPublished in: Inf. Sci. (2020)
Keyphrases
- feature space
- high dimensional
- approximation error
- data points
- sparse approximation
- weight function
- linear approximation
- training samples
- feature vectors
- principal component analysis
- error bounds
- expected error
- approximation methods
- image representation
- dimension reduction
- high dimensionality
- visual words
- sparse representation
- theoretical analysis
- machine learning
- model selection
- low dimensional
- dimensionality reduction
- image retrieval
- training set
- multiscale
- similarity measure