Minimum subspace approximation property for sparse approximations in finite dimension.
Akram AldroubiRomain TesseraPublished in: CISS (2010)
Keyphrases
- sparse approximations
- sparse representation
- integer points
- gaussian process
- unit length
- high dimensional data
- approximation error
- discrete random variables
- low dimensional
- principal component analysis
- face recognition
- dimensionality reduction
- data sets
- feature space
- semi supervised
- high dimensional
- latent variables
- multiscale
- image classification
- digital curves
- pairwise
- image processing
- neural network