Automated variability selection in time-domain imaging surveys using sparse representations with learned dictionaries.
Daniela I. MoodyPrzemek R. WozniakSteven P. BrumbyPublished in: AIPR (2015)
Keyphrases
- sparse representation
- dictionary learning
- sparse coding
- face recognition
- image classification
- image patches
- joint optimization
- negative matrix factorization
- dimensionality reduction
- image processing
- signal processing
- compressed sensing
- random projections
- compressive sensing
- regularized least squares
- high resolution
- image representation
- frequency domain
- learned dictionary
- high dimensional data
- feature vectors
- test images
- high dimensional
- computer vision
- sparse learning
- sparse coefficients
- manifold learning
- data analysis
- multiscale
- similarity measure
- feature selection
- sparse reconstruction
- data sets