The Kernel-SME filter with false and missing measurements.
Marcus BaumShishan YangUwe D. HanebeckPublished in: FUSION (2016)
Keyphrases
- convolution kernel
- bilateral filter
- feature space
- optimal parameter values
- support vector
- gaussian kernel
- kernel function
- missing data
- kernel methods
- noise reduction
- mutual subspace method
- measurement noise
- measurement data
- kernel density estimation
- noise removal
- filtering algorithm
- preprocessing step
- missing values
- reproducing kernel hilbert space
- graph kernels
- component analysis
- positive definite
- kernel regression
- edge preserving
- image enhancement