Gabriel Oliveira

Learn More
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed to find interesting places. In this paper we present a novel approach to find interesting places in trajectories, considering the variation of the direction as the main aspect. The(More)
— One of the central problems in computer vision and robotics is to recognize objects in a scene. State-of-the-art algorithms for object recognition are extremely data intensive. Cloud technologies hold the promise to make such algorithms available to robots with limited computation capabilities. However , collecting and transferring large amounts of data(More)
Parkinson's disease (PD) is an incurable progressive neurodegenerative disorder. Clinical presentation of PD stems largely from the loss of dopaminergic neurons in the nigrostriatal dopaminergic pathway, motivating experimental strategies of replacement based on cell therapy. Transplantation of dopaminergic neurons derived from embryonic stem cells(More)
—Real-time digital simulators (RTDS) are used for real-time simulation of power systems. As the complexity of the electric power grid and associated control increases in the future, modeling and simulation of the power network as well as the control becomes essential. This requirement will be even more prominent in the context of smart grid. As enabling(More)
Trajectory data play a fundamental role to an increasing number of applications, such as traffic control, transportation management, animal migration, and tourism. These data are normally available as sample points. However, for many applications, meaningful patterns cannot be extracted from sample points without considering the background geographic(More)
  • 1