In the context of machine learning, representing a dataset with graphs have been studied in the literature, especially in the field of semi-supervised learning. The principal feature of the techniques based on graphs ...

The human action recognition in videos has been a very prominent task in recent years for being challenging and having applications in a wide range of areas, such as surveillance, robotics, health, video search, human-computer ...

Feature Selection Is An Important Pre-Processing Step Usually Mandatory In Data Analysis By Machine Learning Techniques. Its Objective Is To Reduce Data Dimensionality By Removing Irrelevant And Redundant Features From A ...

To Perform The Autonomous Navigation, The System Of An Unmanned Aerial Vehicle (Uav), Also Known As Drone, Needs, Among Other Things, To Know The Position Of The Aircraft. Such Information Is Commonly Obtained By The Use ...

Words naturally present more than one meaning and ambiguity is a recurrent feature in natural languages. Consequently, the task of Word Sense Disambiguation (WSD) aims at defining which word sense is the most adequate in ...

As demandas intermitentes ocorrem com frequência no ambiente de peças de reposição de aeronaves e componentes, sendo elas um dos principais problemas enfrentados pelas organizações modernas gerando enormes desafios para ...