spectrum imaging inverse problem: Bayesian regularized non-negative least squares.
Erick Jorge Canales-RodríguezMarco PizzolatoThomas YuGian Franco PireddaTom HilbertJoaquim RaduaTobias KoberJean-Philippe ThiranPublished in: NeuroImage (2021)
Keyphrases
- least squares
- thermal infrared
- spectral resolution
- image processing
- sparse linear
- imaging systems
- positive and negative
- bayesian estimation
- robust estimation
- parameter estimation
- image analysis
- infrared
- high resolution
- optical flow
- medical imaging
- posterior probability
- levenberg marquardt
- weighted least squares
- bayesian networks
- maximum likelihood
- maximum entropy
- posterior distribution
- bayesian learning
- policy evaluation
- white light
- learning algorithm
- tikhonov regularization
- support vector
- computer vision