Maria Fernanda Moura

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This thesis considers systematic methodologies for nding optimized implementations for the fast Fourier transform FFT. By employing rewrite rules e.g., the Cooley-Tukey formula, we obtain a divide and conquer procedure decomposition that breaks down the initial transform into combinations of diierent smaller size sub-transforms, which are graphically(More)
e proposta uma metodologia para tal fim. Deve-se notar que a metodologia se propõe a auxiliar o processo de organização da coleção de textos, fornecendo um mapa de tópicos que auxilia a análise e compreensão da coleção de textos e que pode ser utilizado junto a ferramentas de recuperação de informação sobre a coleção, fornecendo bons indexadores de busca. O(More)
With the fast expansion on the number of textual documents, the task of extracting representative terms of fixed domain becomes extremely important since they can be employed for various purposes. One purpose is the discrimination of texts in the processes of knowledge extraction, which allows the construction of topics taxonomies for specific areas. In(More)
Introduction In the last decades the internet has captured the attention of many users, not only for the services offered but also for the possibility to access a huge amount of information represented in different kind of formats like the on-line news. This huge amount of information is not easily interpreted, demanding tools and techniques which allow(More)
The purpose of this article is to review the main neuroanatomic structures and the neurotransmission process involved at memory. Memory is dynamic based on the reunion of aspects of neuronal activation, in a process based on the individual experiences. It will be described the importance of limbic regions and their interaction during processing,(More)
Acknowledgments I must admit that pursuing my graduate studies here at the University of Texas at Austin gave me a rare opportunity to be under the tutelage of talented professors. However, today I feel chiefly indebted to my advisor Dr. Allan MacDonald for the patience and sincerity he has shown me in regard to this dissertation. I would like to take this(More)
One of the problems in automatic models to generate topic ta-xonomies is the creation process of the most significant words list that discriminates each document group. In this technical report, there are two proposed methods to find out those lists from hierarchical document groups, as well as the use of two other classical methods in this task. The use of(More)
providing the cardiac MRI data to test my algorithms. This project would not have been possible without help from Charnchai Pleumpitiwiriyawej whose work on Stochastic Active Contour Scheme formed the basis for this research. Special thanks are due to Hsun-Hsien Chang who helped me understand the principles of the level set method and gave me valuable tips(More)
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