A Neural Architecture for Bayesian Compressive Sensing Over the Simplex via Laplace Techniques.
Steffen LimmerSlawomir StanczakPublished in: IEEE Trans. Signal Process. (2018)
Keyphrases
- compressive sensing
- neural architecture
- neural network
- feed forward
- image recovery
- random projections
- sparse representation
- compressive sampling
- signal processing
- activation function
- image representation
- multilayer perceptron
- basis functions
- back propagation
- multi layer perceptron
- original data
- co occurrence
- fuzzy logic
- feature vectors
- pattern recognition
- feature selection
- computer vision