Why Regularized Auto-Encoders learn Sparse Representation?
Devansh ArpitYingbo ZhouHung Q. NgoVenu GovindarajuPublished in: CoRR (2015)
Keyphrases
- sparse representation
- regularized least squares
- sparse reconstruction
- dictionary learning
- sparse coding
- norm minimization
- sparsity constraints
- image classification
- compressive sensing
- orthogonal matching pursuit
- face recognition
- random projections
- signal processing
- negative matrix factorization
- image representation
- reconstruction error
- compressed sensing
- image patches
- high dimensional data
- joint optimization
- dimensionality reduction
- sparse coefficients
- test images
- least squares
- image processing
- pattern recognition
- machine learning
- neural network
- data sets