Convolutional Neural Networks Analyzed via Inverse Problem Theory and Sparse Representations.
Cem TarhanGozde Bozdagi AkarPublished in: CoRR (2018)
Keyphrases
- sparse representation
- convolutional neural networks
- dictionary learning
- sparse coding
- image classification
- joint optimization
- signal processing
- compressive sensing
- compressed sensing
- sparse reconstruction
- random projections
- dimensionality reduction
- negative matrix factorization
- manifold learning
- image patches
- high dimensional data
- convolutional network
- range images
- regularized least squares
- face recognition