Pattern Classifiers
Mostrando 1-12 de 25 artigos, teses e dissertações.
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1. Pattern recognition of abscesses and brain tumors through MR spectroscopy: Comparison of experimental conditions and radiological findings
Abstract Introduction The interpretation of brain tumors and abscesses MR spectra is complex and subjective. In clinical practice, different experimental conditions such as field strength or echo time (TE) reveal different metabolite information. Our study aims to show in which scenarios magnetic resonance spectroscopy can differentiate among brain tumors,
Res. Biomed. Eng.. Publicado em: 17/08/2017
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2. An Empirical Evaluation of the Local Texture Description Framework-Based Modified Local Directional Number Pattern with Various Classifiers for Face Recognition
ABSTRACT Texture is one of the chief characteristics of an image. In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. A feature descriptor titled Local Texture Description Framework-based Modified Local Directional Number pattern (LTDF_MLDN), capable of enco
Braz. arch. biol. technol.. Publicado em: 23/01/2017
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3. Sistema imunológico artificial para predição de fraudes e furtos de energia elétrica / Artificial immune system to predict electrical energy fraud and theft
Neste trabalho é analisada a aplicação da técnica de Sistemas Imunológicos Artificiais (SIA) a um problema do mundo real: como predizer fraudes e furtos de energia elétrica. Vários trabalhos tem mostrado que épossível detectar padrões de dados anormais a partir dos dados de consumidores de energia elétrica e descobrir problemas como fraude e furto
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
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4. Detecção de falhas em circuitos eletrônicos lineares baseados em classificadores de classe única. / Fault detection in electronics linear circuits based in one class classifiers.
This work deals with the application of one class classifiers in fault detection. The faults to be detected are related parametric faults. The transfer function of each circuit was generated and the outputs signals with the components in and out of tolerance were analyzed. Pattern recognition and one class classifications tools are employed to perform the an
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/08/2011
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5. Reconhecimento de padrões em imagens por descritores de forma / Pattern recognition in images via shape descriptors
A idéia de capacitar uma máquina a reconhecer o ambiente em que atua tem motivado pesquisadores a investir esforços no estudo do mais complexo dos sentidos humanos, a visão. A visão é, antes de tudo, uma tarefa de representação e processamento de informações, sendo portanto adequada ao tratamento computacional. Visto que ainda não se possuem méto
Publicado em: 2011
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6. Aplicação de modelos de Markov ocultos na obtenção de taxas de mortalidade das larvas do mosquito da Dengue
In order to prevent the proliferation of Dengue transmitter - scientifically named as Aedes ae- gypti - and therefore decrease human contamination by such insect, many larvaecides have been developed recently. Researchers from Dom Bosco Catholic University evaluate the efectiveness of vegetal-derived substances capable to combat such animal larvae. Death rat
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/02/2010
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7. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais / Combining markov random field models for multispectral image contextual classification
This work presents a novel MAP-MRF approach for multispectral image contextual classification by combining higher-order Markov Random Field models. The statistical modeling follows the Bayesian paradigm, with the definition of a multispectral Gaussian Markov Random Field model for the observations and a Potts MRF model to represent the a priori knowledge. In
Publicado em: 2010
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8. 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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9. Predição de regiões de interface proteina-proteina baseada em informações estruturais / Prediction of protein-protein interface region based on structural information
This work approaches the problem of protein-proteins interface region prediction based on measures of physical-chemical and structural properties. The approach considers the amino acids of the protein surface as the basic units for classification, such that the restriction of use of patches, considered by similar predictors, is eliminated. This predictor is
Publicado em: 2009
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10. A machine learning approach to automatic music genre classification
This paper presents a non-conventional approach for the automatic music genre classification problem. The proposed approach uses multiple feature vectors and a pattern recognition ensemble approach, according to space and time decomposition schemes. Despite being music genre classification a multi-class problem, we accomplish the task using a set of binary c
Journal of the Brazilian Computer Society. Publicado em: 2008-09
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11. Classificação supervisionada de padrões utilizando floresta de caminhos otimos / Supervised pattern classification using optimum path forest
Patterns are usually represented by feature vectors obtained from samples of a dataset, which can be fully, partially or non labeled. Depending on the amount of available information of these datasets, three kinds of pattern identification techniques can be applied: supervised, semi-supervised or non supervised. In this work, we addressed the supervised ones
Publicado em: 2008
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12. Análise de estruturas de rede neocognitron para aplicação no reconhecimento facial
The present work consists in the use of the combination of neocognitron networks for the face recognition tasks integrating a system of face recognition, categorized as holistic method, by the fact of to approach all the face in the extration of the characteristics of the input image. The use of the face as biometric attribute in the recognition of individuo
Publicado em: 2008