Aggregating Dependent Gaussian Experts in Local Approximation.
Hamed JalaliGjergji KasneciPublished in: ICPR (2020)
Keyphrases
- gaussian convolution
- linear computational complexity
- series expansion
- polynomial approximation
- error bounds
- taylor series expansion
- gaussian mixture model
- maximum likelihood
- expectation propagation
- gaussian distribution
- approximation error
- relative error
- gaussian model
- approximation ratio
- gaussian noise
- machine learning
- real time
- independent and identically distributed
- human experts
- statistically independent
- closed form
- domain experts
- denoising
- image segmentation