We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Traditional network analysis tools support analysts in studying a single network. ManyNets offers these analysts a powerful new approach that enables them to work on multiple netw...
Manuel Freire, Catherine Plaisant, Ben Shneiderman...
Wireless systems that form a body-area network must be made small and low power without sacrificing performance. To achieve high-throughput communication in low-cost wireless bod...
Due to their characteristics and claimed advantages, several researchers have been investigating free and open-source projects. Different aspects are being studied: for instance, ...
Samuel Felix de Sousa Jr., Marco Antonio Balieiro,...