We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
This paper presents an experimental evaluation of the methodology documentation template proposed by the IEEE FIPA Design Process Documentation and Fragmentation working group [1]....
We describe constraint solving using a rule-based approach. The distinction made between deduction rules and strategies by computational systems allows us to improve our understan...