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2D SLAM Algorithms Characterization, Calibration, and Comparison Considering Pose Error, Map Accuracy, CPU Usage, and Memory Usage
(2022)
The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM algorithm, providing strong statistical evidence, based on descriptive and inferential statistics to bring confidence levels about ...
Long memory properties and agents’ behavior: an interesting connection
(Centro de Estudos em Finanças (GVcef), 2015)
The aim of this work is to establish an interesting connection between the behavior of economic agents and the long memory features that generally occur in a wide set of time series found in economic/financial problems. ...
Accelerating Graph Applications Using Phased Transactional Memory
(2021-01-01)
Due to their fine-grained operations and low conflict rates, graph processing algorithms expose a large amount of parallelism that has been extensively exploited by various parallelization frameworks. Transactional Memory ...
Comparative study of algorithms for mining association rules: Traditional approach versus multi-relational approach
(2011-12-01)
The multi-relational Data Mining approach has emerged as alternative to the analysis of structured data, such as relational databases. Unlike traditional algorithms, the multi-relational proposals allow mining directly ...
Refactoring an electric-market simulation software for massively parallel computations
(2022)
In the last two decades, Uruguay has been immersed in the process of significantly changing its energy generation matrix, especially by the introduction of wind and solar sources. In this context, SimSEE, a
simulation and ...
War memorials, between propaganda and history: Mleeta Landmark and Hezbollah
War memorials have been historically used as propaganda tools that facilitated the creation of a collective memory about past actions. With the rise of the society of leisure and gamification, new strategies to reach these ...
Apriori-Roaring-Parallel: Frequent pattern mining based on compressed bitmaps with OpenMP
(2021-01-01)
Mining association rules is a process which consists in extracting knowledge from datasets. This is a widely used technique to analyze customer purchasing patterns, and its process is segmented in two main phases: mining ...
Um método para o cálculo da inversa de matrizes em blocos com uso limitado de memória
(BrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2018-05-04)
The inversion of extremely high order matrices has been a challenging task because of
the limited processing and memory capacity of conventional computers. In a scenario in
which the data does not fit in memory, it is ...
O memorial autobiográfico: uma tradição acadêmica do ensino superior no Brasil
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em EducaçãoEducação, 2012-03-30)
The thesis has as object of study the autobiographical memmorials. The general objective is to describe the history of the memmorial as an academic tradition of higher education in Brazil. Considered a hybrid genre, ...