Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines.
Eric W. TramelAndre ManoelFrancesco CaltagironeMarylou GabriéFlorent KrzakalaPublished in: CoRR (2016)
Keyphrases
- compressed sensing
- compressive sampling
- sparse representation
- restricted boltzmann machine
- image reconstruction
- random projections
- deep learning
- orthogonal matching pursuit
- natural images
- signal processing
- compressive sensing
- probabilistic graphical models
- fourier domain
- sparse coding
- high dimensional
- pattern recognition
- semi supervised
- conditional random fields
- image classification
- neural network
- dimensionality reduction
- higher order
- denoising
- image features
- knn
- training set
- multiscale
- face recognition
- data mining