Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
In the past, some research has been done on how to use proactive recovery to build intrusion-tolerant replicated systems that are resilient to any number of faults, as long as reco...
Paulo Sousa, Alysson Neves Bessani, Miguel Correia...
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Spectrum sharing employs dynamic allocation of frequency resources for a more efficient use of the radio spectrum. Despite its appealing features, this technology inevitably compli...
Luca Sanguinetti, Michele Morelli, H. Vincent Poor