Hello there! I am Efraim Rodrigues. I started coding scripts for a online game private server I played and have never stopped coding ever since. I got my bachelor's degree in computer science from the Federal University of the Semi-Arid where I have worked as the teaching assistant for the Applied Informatics and Object-Oriented Programming courses.
In school I got a scholarship and was an exchange student at University of Nebraska - Lincoln majoring in computer science for a year a half. There I've worked as a undergrad teaching assistant and was a volunteer researcher in a bioinformatics project as well.
I am currently working as a software developer at the Federal University of Ceará in Fortaleza where I currently write Java web applications.
Creating solutions for the university's latest demand with Java EE.
I helped students with their lab work and projects. The course covered Object-Oriented Programming.
I had to guide students with assignments, laboratory practices, and correct their assignments in the course of Computer Science II which covered Object-oriented programming and MySQL.
I helped students with their lab work and projects. The course covered algorithms and programming in C.
Due the growing popularity of image acquisition devices and INTERNET, millions of images are available. It is possible to retrieve and access public images through search engines, such as Google’s for instance. Because of the huge amount of available images in many repositories, the development of methods that can select and filter desired results is crucial. In this context classification algorithms aim to sort elements of a set using clustering and categorization. Thus it is possible to apply these algorithms to sort results from a search for images in such a manner that they are grouped according to related aspects. Hence, this work aim to create a system to filter and arrange sets of images retrieved from a search on the INTERNET. This filter intent to group similar elements in folders to aid users throughout search. The approaches in this work involve the categorization of images through dynamic clustering and descriptors that represent the information within the images.