Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization.
Ziqiao GuanEsther H. R. TsaiXiaojing HuangKevin G. YagerHong QinPublished in: WACV (2022)
Keyphrases
- latent space
- feature space
- latent variables
- low dimensional
- gaussian processes
- gaussian process
- dimensionality reduction
- parameter space
- generative model
- lower dimensional
- manifold learning
- probabilistic latent semantic analysis
- matrix factorization
- high dimensional
- denoising
- gaussian mixture
- distance metric
- high dimensional data
- transfer learning
- kernel function
- feature extraction
- gaussian process latent variable models
- data points
- regression model
- maximum likelihood
- principal component analysis
- high dimensional spaces
- probabilistic model
- data sets
- random variables
- nearest neighbor
- pattern recognition