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Mostrando ítems 61-68 de 68
Mineração de regras de associação temporais envolvendo dados quantitativos contínuos
(Universidade Federal de São Carlos, 2020-08-07)
The consideration of temporality in a explicit manner on the task of association rules mining that involves continuous quantitative data is one approach that aims to contribute to the field of study of knowledge discovery ...
SCAS-Fuzzy: uma estratégia semiautomática para seleção de estudos primários em estudos secundários
(Universidade Federal de São Carlos, 2018-01-23)
Context: Systematic review and systematic mapping are secondary studies used to identify and aggregate relevant literature evidence on a research question of interest. One of the activities associated with secondary studies ...
SAS-DV: Uma arquitetura de predição de riscos de colisão para pessoas com deficiência visual
(Universidade Federal de São Carlos, 2020-02-10)
The technologies developed so far to help visually impaired people (VIP) navigate meet only some of their everyday needs. This project allows visually impaired people to improve the situation awareness (SAW) by generating ...
Protótipo vestível de sistema de navegação multimodal e interativo para auxílio customizável a pessoas com deficiências visuais
(Universidade Federal de São Carlos, 2020-03-09)
Visual impairment affects millions of people around the world nowadays. By not being able to rely on their vision, people often use other senses to compensate for the lack of vision, such as hearing and touch, when performing ...
Human action recognition based on spatiotemporal features from videos
(Universidade Federal de São Carlos, 2020-12-22)
Currently, there is a high demand for the development of new techniques for automatic pattern recognition in videos, for example for the automatic recognition of human actions, this demand is motivated by the advances in ...
Aprendizado de mudança de conceito por floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2020-12-17)
Classification algorithms take their decisions according to a learning process on the training set. Therefore, the data to be classified in the test set must have the same distribution as the training set to be correctly ...
Algoritmos para a redução de ruído Poisson e estimativa de parâmetros utilizando distâncias estocásticas
(Universidade Federal de São Carlos, 2018-06-14)
Noise is present in all applications of digital imaging. Due to its stochastic nature, it is impossible to determine exact procedures to completely remove noise from the image. Thus, the target signal may be affected during ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...