Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing.
Vinayak KilledarPraveen Kumar PokalaChandra Sekhar SeelamantulaPublished in: ICASSP (2021)
Keyphrases
- compressive sampling
- compressive sensing
- latent space
- generative model
- gaussian process latent variable models
- random projections
- low dimensional
- sparse representation
- dimensionality reduction
- prior knowledge
- latent variables
- compressed sensing
- high dimensional
- signal processing
- image representation
- gaussian process
- feature space
- orthogonal matching pursuit
- parameter space
- transfer learning
- gaussian processes
- maximum a posteriori
- matrix factorization
- high dimensional data
- probabilistic model
- em algorithm
- multiscale
- probabilistic latent semantic analysis
- dimension reduction
- computer vision
- principal component analysis
- regression model
- machine learning
- semi supervised
- text mining