Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Given an adequate simulation model of the task environment and payoff function that measures the quality of partially successful plans, competition-based heuristics such as geneti...
This paper presents an MDE-based approach to interchanging rules between the Object Constraint Language (OCL) and REWERSE I1 Rule Markup Language (R2ML). The R2ML tends to be a sta...
Milan Milanovic, Dragan Gasevic, Adrian Giurca, Ge...