Beyond ℓ1 norm minimization - High quality recovery of non-sparse compressible signals.
Aiko NishiyamaYuki YamanakaAkira HirabayashiKazushi MimuraPublished in: APSIPA (2014)
Keyphrases
- norm minimization
- sparse representation
- compressive sensing
- high quality
- signal processing
- sparse coding
- low rank matrices
- convex optimization
- random projections
- image classification
- unsupervised feature selection
- image representation
- negative matrix factorization
- matrix completion
- image patches
- dimensionality reduction
- low rank
- high dimensional
- high resolution
- high dimensional data
- natural images
- face recognition
- rank minimization
- computer vision
- low rank matrix
- image processing
- super resolution
- data points