Support-vector conditional density estimation for nonlinear filtering.
Peter KrauthausenMarco F. HuberUwe D. HanebeckPublished in: FUSION (2010)
Keyphrases
- nonlinear filtering
- support vector
- conditional density estimation
- compressed sensing
- anisotropic diffusion
- support vector machine
- nonlinear filters
- cross validation
- monte carlo
- denoising
- feature selection
- kernel function
- density ratio estimation
- density ratio
- machine learning
- image processing
- state space
- pairwise
- image reconstruction
- outlier detection
- partial differential equations
- feature space
- impulse noise
- multiscale
- image sequences