This paper is a summary of the author’s thesis that presents a model and an environment for recovering the high level design of legacy software systems based on user defined ar...
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Agents in open and dynamic environments face the challenge of uncertainty while interacting with others to achieve their goals. They face quick and unforeseen changes to the behavi...
This paper aims at pushing the clear relationship between software service composition and chemical dynamics a step forward. We developed a coordination model where services and c...
A critical function in both machine vision and biological vision systems is attentional selection of scene regions worthy of further analysis by higher-level processes such as obj...