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Explorando informação temporal em aprendizado profundo: reconhecimento de ações em vídeos
(Universidade Federal de São Paulo (UNIFESP), 2019-08-09)
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 ...
Projeto ForestEyes – Ciência Cidadã e Aprendizado de Máquina na Detecção de Áreas Desmatadas em Florestas Tropicais
(Universidade Federal de São Paulo (UNIFESP), 2020-08-28)
Tropical forests’ conservation is a current issue of social and ecological relevance due to their important role in the global ecosystem. Tropical forests have a great diversity of fauna and flora, act in the regulation ...
Uso De Medidas De Complexidade Em Seleção De Atributos
(Universidade Federal de São Paulo (UNIFESP), 2018-07-31)
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 ...
Aprendizado De Máquina Aplicado À Odometria Visual Para Estimação De Posição De Veículos Aéreos Não Tripulados
(Universidade Federal de São Paulo (UNIFESP), 2018-07-31)
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 ...
Desambiguação de sentidos de palavras por meio de aprendizado semissupervisionado e word embeddings
(Universidade Federal de São Paulo (UNIFESP), 2020-01-27)
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 ...