Feature Vector
Mostrando 13-24 de 95 artigos, teses e dissertações.
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13. A Common-Feature Approach for Testing Present-Value Restrictions with Financial Data
It is well known that cointegration between the level of two variables (labeled Yt and yt in this paper) is a necessary condition to assess the empirical validity of a present-value model (PV and PVM, respectively, hereafter) linking them. The work on cointegration has been so prevalent that it is often overlooked that another necessary condition for the PVM
Escola de Pós-Graduação em Economia da FGV. Publicado em: 24/02/2012
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14. SENTIMENT ANALYSIS FOR FINANCIAL NEWS ABOUT PETROBRAS COMPANY / CLASSIFICAÇÃO DE SENTIMENTO PARA NOTÍCIAS SOBRE A PETROBRAS NO MERCADO FINANCEIRO
A huge amount of information is available online, in particular regarding financial news. Current research indicate that stock news have a strong correlation to market variables such as trade volumes, volatility, stock prices and firm earnings. Here, we investigate a Sentiment Analysis problem for financial news. Our goal is to classify financial news as fav
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/07/2011
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15. Extração de parâmetros característicos para detecção acústica de vazamento de água. / Feature extraction for acoustic water leak detection.
Este trabalho apresenta a pesquisa sobre a extração de parâmetros característicos de sinais acústicos para fins de detecção automática de vazamento de água em tubulações enterradas. Os sinais acústicos foram adquiridos com o auxílio de um geofone eletrônico e também catalogados por técnicos especialistas em detecção acústica. De todos os s
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/04/2011
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16. Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação / Feature selection by genetic algorithms to improve ranking and classification models
Content-based image retrieval (CBIR) and classification systems rely on feature vectors extracted from images considering specific visual criteria. It is common that the size of a feature vector is of the order of hundreds of elements. When the size (dimensionality) of the feature vector is increased, a higher degree of redundancy and irrelevancy can be obse
Publicado em: 2011
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17. Sistema inteligente para diagnóstico de patologias na laringe utilizando máquinas de vetor de suporte
A voz humana é uma importante ferramenta de comunicação e qualquer funcionamento inadequado da voz pode ter profundas implicações na vida social e profissional de um indivíduo. Técnicas de processamento digital de sinais têm sido utilizadas através da análise acústica de desordens vocais provocadas por patologias na laringe, devido à sua simplici
Publicado em: 2010
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18. New vectors derives from pUC 18 for clonig and thermal-induced expression in Escherichia coli
We report the construction of two vectors for Escherichia coli: pUC72, for molecular cloning, and pPLT7, for thermal-induced expression. The main feature of pUC72 is a novel polylinker region that includes restriction sites for Nde I and Nco I which provide an ATG codon for proper translation initiation of expressed genes. Vector pPLT7 is ideal for thermo-in
Brazilian Journal of Microbiology. Publicado em: 2009-12
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19. Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte
Electroencephalogram (EEG) is a clinical method widely used to study brain function and neurological disorders. The EEG is a temporal data series which records the electrical activity of the brain. The EEG monitoring systems create a huge amount of data; with this fact a visual analysis of the EEG is not feasible. Because of this, there is a strong demand fo
Publicado em: 2009
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20. Classifiers and machine learning techniques for image processing and computer vision / Classificadores e aprendizado em processamento de imagens e visão computacional
In this work, we propose the use of classifiers and machine learning techniques to extract useful information from data sets (e.g., images) to solve important problems in Image Processing and Computer Vision. We are particularly interested in: two and multi-class image categorization, hidden messages detection, discrimination among natural and forged images,
Publicado em: 2009
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21. TRANFORMADA WAVELET E REDES NEURAIS ARTIFICIAIS NA ANÁLISE DE SINAIS RELACIONADOS À QUALIDADE DA ENERGIA ELÉTRICA / WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS IN POWER QUALITY SIGNAL ANALYSIS
This work presents a different method for power quality signal classification using the principal components analysis (PCA) associated to the wavelet transform (WT). The standard deviation of the detail coefficients and the average of the approximation coefficients from WT are combined to extract discriminated characteristics from the disturbances. The PCA w
Publicado em: 2009
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22. Combinação de múltiplos classificadores para reconhecimento de face humana
Lately, the human face object has been exploited by the advent of systems involving biometrics, especially for applications in security. One of the most challenging applications is the problem of human face recognition, which consists of determining the correspondence between an input face and an individual from a database of known persons. The process of fa
Publicado em: 2009
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23. Tensorização de matrizes de rigidez para quadrados e hexaedros finitos de alta ordem / Tensorization of stiffness matrices for squares and hexaedral using high order FEM
High-order Finite Element Methods have been applied with success to problems of Fluid Dynamics and Electromagnetism. The main feature of these methods is to present an exponential convergence rate for problems with polinomial solution. However, due to the use of high-order interpolation functions, the elemental matrices are denser. This work shows a mathemat
Publicado em: 2009
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24. Vocábularios visuais aplicados à detecção de edifícios em fotografias históricas
In this work, we propose a technique based on a bag-of-keypoints representation to identify images containing buildings in the photographic collection of Arquivo Público Mineiro (APM), the Archives of the State of Minas Gerais. We evaluate the proposed work using digitized versions of the original. Digitization is an effective procedure to make collections
Publicado em: 2009