Why Regularized Auto-Encoders learn Sparse Representation?
Devansh ArpitYingbo ZhouHung Q. NgoVenu GovindarajuPublished in: ICML (2016)
Keyphrases
- sparse representation
- regularized least squares
- dictionary learning
- sparse reconstruction
- sparsity constraints
- sparse coding
- norm minimization
- face recognition
- compressed sensing
- compressive sensing
- dimensionality reduction
- image classification
- signal processing
- joint optimization
- reconstruction error
- orthogonal matching pursuit
- image patches
- high dimensional data
- negative matrix factorization
- sparse approximations
- random projections
- image representation
- piecewise smooth
- test images
- image reconstruction
- linear combination
- data analysis
- multiscale
- machine learning
- data sets