Sparsity Driven Latent Space Sampling for Generative Prior Based Compressive Sensing.

Vinayak Killedar Praveen Kumar Pokala Chandra Sekhar Seelamantula

Published 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