Data Analysis Using Scale-space Filtering and Bayesian Probabilistic Reasoning.
Deepak KulkarniKiriakos N. KutulakosPeter RobinsonPublished in: Comput. Chem. (1992)
Keyphrases
- probabilistic reasoning
- scale space filtering
- bayesian networks
- multiresolution
- multiscale
- probabilistic inference
- scale parameter
- first order logic
- gaussian kernel
- constraint satisfaction
- zero crossing
- belief networks
- knowledge representation
- logic programming
- scale space
- probability distribution
- data mining
- maximum likelihood
- probabilistic model
- logic programs
- graphical models
- edge detection
- conditional independence
- wavelet transform
- natural language
- feature extraction